Grace Hopper Conference
Amazon scientists (from top left) Kristine Brown, Laura De Lorenzo, Yang Liu, Hannah Marlowe, Nina Mishra, Candace Thille, and Chao Wang provide their perspectives on what it will take to attract more women to pursue STEM careers.
Credit: Stacy Reilly

Seeds of inspiration

Given the recent death of US Supreme Court Justice Ruth Bader Ginsburg, and with the Grace Hopper Celebration taking place this week, we asked Amazon women scientists what it will take to attract more women to pursue STEM careers.

The AnitaB.org Grace Hopper Celebration, an event honoring Grace Hopper’s legacy by inspiring future generations of women to pursue careers in technology, takes place this week, as it has every year since 1994. Amazon is a Diamond sponsor of this year’s event.

Unlike previous years, though, this year’s celebration, which AnitaB.org produces in partnership with the Association for Computing Machinery (ACM), will be held virtually given restrictions related to COVID-19.  What hasn’t changed is the vision of AnitaB.org: a future “where the people who imagine and build technology mirror the people and societies for whom they build it.”

Based on the latest statistics from the National Center for Women & Information Technology, that future is still on the horizon. While 57 percent of US professional jobs were held by women in 2019, just 26% of professional computing jobs were occupied by women. Among the 26% of women occupying professional computing jobs, 7% were Asian women, 3% Black women, and 2% Hispanic women.

Elizabeth Nieto, Amazon’s head of global diversity and inclusion, says the company’s vision is to create a culture where the best builders, including women from all backgrounds, want to work and stay at Amazon “because they are drawn to our mission, our culture, and our leaders. We are focused on being globally inclusive and creating a culture at Amazon where everyone can reach their full potential.”

At last year’s event, Brenda Darden Wilkerson, president and CEO of AnitaB.org, told nearly 25,000 attendees, “I want our daughters to say, ‘I heard back in the day there was this problem that there weren’t enough women in tech.  What was that like?’”

In advance of this week's conference, Amazon Science asked some of the company’s women scientists when they think the industry will reach that goal, what it will take to get there, and who or what most inspired them to pursue their science careers.  Below are their responses.

Kristine Brown is a principal economist within Amazon’s human resources organization. She obtained her PhD in economics from the University of California, Berkeley.

Kristine Brown
Kristine Brown

Q. When do you think we'll reach that day that Brenda Wilkerson talked about last year?

At Amazon, I learned the importance of continuous inspection to identify opportunities for improvement, and to adapt to a shifting environment. I think the same applies here; the task of deliberately creating opportunities for others, and removing barriers to shape a more equitable and inclusive workplace will evolve over time, but it doesn’t have an end date.

Q. What will it take to get there?

The demand for science and tech talent is increasing in the traditional technology sector and in other industries that are leveraging new technologies and data to provide better services and products. The door is wide open, but you can’t walk in if you don’t know it exists, or how to get there. For me, early exposure and encouragement to explore science and math were critical. I discovered a passion for physics and that interest pushed me to develop my math and science skills. I was lucky to have this opportunity. Casting a wider net to provide early, low stakes opportunities to engage in science and tech activities, develop STEM skills, and learn about the diversity of work in this space, will help demystify the technology industry. It will also allow kids and young adults to learn whether it matches their interests and whether they have a knack for it.

Q. Who or what inspired you most to pursue your STEM career?

My fascination with the natural world was fueled by observing wildlife, peering through an observatory telescope at distant planets, and nature magazines with beautiful photos. The mind-bending questions of space and time were especially irresistible; I wanted the answers to the universe, and physics and math were the key to finding them. Later, as I became interested in understanding human behavior (which I’d argue is no less mysterious) and how government policies could improve lives, I found economics came with a familiar toolkit of mathematical modeling and scientific testing to answer these questions. I saw a career in economics as an opportunity to leverage my strengths to drive positive change.

Laura De Lorenzo is a quantum computing research scientist within the Amazon Web Services organization. She earned her PhD in applied physics from the California Institute of Technology (CalTech).

Laura De Lorenzo
Laura De Lorenzo

Q. When do you think we'll reach that day that Brenda Wilkerson talked about last year?

To be honest, I'm so uncertain as to be unwilling to hazard a guess, but I do think it is a long way off. In some STEM fields, such as medicine, the gender gap has nearly, or completely, closed within the past 50 years. In other fields, the percentage of women (measured by employment or educational degree) remains far below 50% and doesn't appear to be changing significantly year over year. The amount of progress in some fields is encouraging, but it's difficult to understand why fields like physics and computer science lag behind.  

Q. What will it take to get there?

This issue is clearly challenging and multi-faceted, so I cannot offer a single simple solution. However, I think one important aspect is a focus on young women, in the middle school to high school age group. For example, women are already underrepresented in the high school AP physics examinations. By the time students reach the undergraduate level, only about 20% of physics majors are female. I think it is essential to understand why young women make these choices. Is it a lack of role models, or self-doubt about their ability to perform well in science, or peer pressure, or something else entirely?  In the meantime, I think it is important to offer encouragement and support to young students because once women drop out of the STEM fields, it is more difficult for them to return at a later age.

Q. Who or what inspired you most to pursue your STEM career?

From a young age, my parents were always supportive of my interests in science and math, and of my career in general. My mother went to medical school in the late ‘70s, when women represented only about 20% of medical students in the US.  I always saw her as strong, hard-working, and independent, and she was a great example for me to follow. Both of my parents had high expectations for me and would never allow me to perform at less than my best. I definitely owe the largest debt of gratitude to them. However, programs such as Science Olympiad and the Pennsylvania Governor's School for Science (a five-week program for rising high school seniors), also helped me by introducing me to a peer group with similar interests, and to a larger group of role models and mentors who could help me navigate the next step.

Yang Liu is a principal scientist within the Alexa AI organization. She earned her PhD in electrical and computer engineering from Purdue University.

Yang Liu
Yang Liu

Q. When do you think we'll reach that day that Brenda Wilkerson talked about last year?

Maybe in another generation. My daughter is in first grade now. I’m hopeful we can reach that day when she finishes high school, and is choosing a college major or planning a career in STEM or the technology industry.

Q. What will it take to get there?

It will require effort from everyone in society, including educators, students, parents, and policy makers. Starting from kindergarten through high school, young girls and women need support and encouragement from parents and teachers to realize their potential and get excited by STEM careers; educators need to nurture girls’ interest in STEM and create an environment to help them do well in these subjects; and policy makers need to provide appropriate and adequate resources for teachers and students. As Hillary Clinton has written and said, it will take a village for society to address existing biases and prejudices. But with everyone’s effort, I’m confident we can get there by the time my daughter is entering the workforce.

Q. Who or what most inspired you to pursue your STEM career?

Mostly just people around me — my family, teachers from elementary schools all the way up to universities, and an overall supportive environment, including friends and peers. I grew up in China. My mom was a math teacher, and I did well in math starting in elementary school. All I got from everyone around me was support, respect, and encouragement to continue to excel in this subject. I never encountered an attitude like “girls are not good at math (or other science subjects) or don’t need to do well in math”. I made many friends (girls and boys) in schools, and was never left out because I did better than others in science. Reflecting on this, there’s no doubt I benefited from that supportive environment, leading to my future career in STEM. I don’t know for sure if there is a difference between China and US; I don’t have enough sample to draw a conclusion. I’m not even sure if there’s been a generational change within China. What I can say is that I would encourage girls and young women to pursue STEM careers.  The subjects themselves are fascinating. Right now I’m working within the Alexa organization on making computers and other devices “intelligent” by recognizing speech and understanding human language. The work is challenging, interesting, and it’s great to see how Alexa can have a positive impact on the lives of our customers. 

Hannah Marlowe is a senior data scientist within the AWS Worldwide Public Sector Professional Services Data and Machine Learning team. She earned her PhD in physics from the University of Iowa, specializing in the study of astronomical X-ray sources and space-borne instrumentation development.

Hannah Marlowe
Hannah Marlowe

Q. When do you think we'll reach that day that Brenda Wilkerson talked about last year?

The university building where I completed my PhD was an interesting time-capsule to observe some of the progress of women in physics and astronomy. The eight-level physics building, built in the ‘60s, originally featured only men’s restrooms apart from one. The lone women’s restroom was located across the hall from the administration office and included an attached kitchen (still there today), presumably so that secretaries working in the office could prepare meals during the work day. In years since, they have thankfully adjusted the restroom situation, but the basement where my team’s lab was located still only had a men’s room and it was always an interesting reminder of that past.

Today, the thought of designing a building with facilities only for men (much less a public university building) seems completely ridiculous, but it wasn’t so long ago that it apparently made practical sense. We are standing on the shoulders of giants like Ruth Bader Ginsburg and other advocates of gender equality who paved the way for the participation of women in traditionally male-dominated fields and shifted public perception of what women can and should do. It is my hope that we continue to build on the work they championed, but it will take a concerted effort. I don’t have a good answer for when I think we will get to the point that gender disparity in STEM fields is a distant memory. However, I have seen positive changes and witnessed shifts over my own career (not limited to restroom design choices) that make me optimistic that we can get there eventually.

Q. What will it take to get there?

I don’t believe there is any one right answer, but one of the most important things is making it clear to young girls and women that they belong and add value in STEM. I think people tend to gravitate to careers and roles that they have exposure to, and where they see role models that look like themselves. The other piece is not just encouraging girls and women to explore STEM, but expecting it and treating it like a normal career path versus an exceptional one. That is not to say we should be pushing girls to pursue something they aren’t interested in, but I hope that we get to a point where girls pursuing STEM seems completely boring and commonplace. That gets easier as more women enter STEM fields, and I think there is probably a tipping point where women and girls just naturally begin to gravitate in larger numbers to these fields. As a practical matter, we should also be equipping girls with all of the skills and tools that will make them successful in these fields from a young age. Anyone who isn’t exposed to math and science early is going to have to play catch-up later on, and may question their own abilities when they compare themselves to peers who have been in advanced math and science tracks throughout grade school.

Q. Who or what most inspired you to pursue your STEM career?

I feel extremely fortunate that I have mainly been able to follow my interests and what I found to be fun and personally challenging throughout school and my career so far. I also had many great influences and mentors in my life that helped me along my path. From an early age my father used to point out constellations in the sky and took my sister and me to observe comets and space shuttle launches. Once I got to high school, I had a wonderful retired NASA engineer as a physics teacher who introduced me to physics and to Carl Sagan and helped us start the first astronomy club at our school. For my undergraduate education, I chose a small women’s liberal arts college, Agnes Scott College, that had its own observatory and offered an astrophysics degree. At Agnes, I had excellent professors and the unique experience of having all of my STEM peers be women. I think that experience especially helped inoculate me for the future where I’ve more often found myself the only women in large lab groups, collaborations, and professional teams.

The last thing I would like to mention here, because I think it is really important and something I have often struggled with, is the issue of self-doubt. Self-doubt and imposter syndrome are definitely not limited to women in STEM fields, but I think being the only one around who looks like you can contribute to those feelings, and can push people away who have wonderful things to add to these fields. I have so often questioned myself and my worthiness, intelligence, and value (did I really earn that award/fellowship/job offer or was I selected just because I am a women/was in the right place at the right time/completely by mistake?). It was really important for me to know that I was not alone in doubting myself and my capabilities and I am grateful to colleagues and mentors, men and women alike, who shared their own experiences with self-doubt and imposter syndrome along the way. I’ll always remember my wonderful, brilliant, and inspiring undergraduate professor telling me about her own struggles in graduate school, and that one of the reasons she became a professor was to show us that “if she could do it, any of us could.”

Nina Mishra is a principal scientist Amazon’s Health and Wellness organization. She earned her PhD in computer science from the University of Illinois at Urbana-Champaign.

Nina Mishra
Nina Mishra

Q. When do you think we’ll reach that day that Brenda Wilkerson talked about last year?

While computer science has had a gender gap since its inception, I was convinced early on that a trifling matter like gender difference would self-correct. I was wrong. According to a 2019 Taulbee survey, 80% of PhDs are awarded to men and 20% to women. Back in 2001, the split was 78%/22% -- essentially unchanged after 18 years. The problem is not likely to improve in the next five years since the 80/20 gap persists in 2019 at the computer science bachelor’s degree level. Beyond gender gap, there is a gaping wide race gap. In 2019, less than 1% of PhDs were awarded to Black or African-American students; in 2001 this number was 1.3% -- again, essentially the same.  This gap persists early in the education pipeline.  For example, while Atlanta’s population is more than 50% black, only 3 Black students are enrolled in advanced placement computer science courses in local public high schools -- that is 3 out of 528,000! Narrowing this gap is critical for the technology industry. Companies do not want the lack of diversity in their workforce to perpetuate into their products. When will we reach that day? When we change the computer-science culture to welcome and embrace differences. 

My hope, adapting the words of others, is that the arc of social justice is long, but bends towards equality.
Nina Mishra

Q. What will it take to get there?

We cannot reach parity until we overturn the presumption that women hold different roles than men. Until we eliminate the idea that there are ‘girls’ disciplines’ and ‘boys’ disciplines’, and slights such as asking a woman in a meeting if she’s a secretary, or if she can get water for the meeting, it will be difficult to make progress.  Derogatory comments like these contribute to the ‘million cuts’ that women experience and can ultimately lead people to pursue careers where they are more wanted. I’m surprised that people are still hung up on these role associations, but the concern is real and people like Ruth Bader Ginsberg fought their entire career to overturn them. My hope, adapting the words of others, is that the arc of social justice is long, but bends towards equality.

Beyond reaching parity, underrepresented groups need to be seen and more prominently heard. All people have amazing ideas, but I have repeatedly seen ideas from underrepresented groups diminished and even discarded. When such ideas later resurface with the ownership transferred to someone in an overrepresented group, the process is demoralizing and influences people to find alternate careers. These injustices need to be reported and escalated to higher levels. The problem can only be fixed if we have an active dialogue starting from a young age.

Accessibility of resources is a consideration in some parts of the country. There are still households where students do not have a computer and others where a single computer is shared among many family members. There are households that do not have internet access. And, there are parts of the country where computer science classes and teachers aren’t available to students. People cannot choose a computer science career if they are missing these simple, starter ingredients.

Outreach is another area where we can do more. Students may wonder, `What will I do if I have a career in STEM?’. Everyone knows what a medical degree or a law degree leads to career-wise, but what does a computer science degree lead to? The common misperception is of macho geeks cranking out tons of code. For me, it is about finding ways to use data collected about some people to help millions more. It is about the amazing predictions that machine learning can make. The way that smartwatches can detect heart arrhythmias and search engines connect people to information is rooted in data and machine learning. Writing code is a means to that end. Novel and crazy ideas are what push the field forward. A more concerted effort is needed to communicate this to young students.

Q. Who or what most inspired you to pursue your STEM career?

My mother played a huge role early in life. She has a gift for explaining mathematical concepts. She taught math at a community college and also a prison. Later on, my high school math teacher played a large role. She forced students to walk to the board and write/explain their solutions. It was an early peek into the clarity one achieves by teaching their solution to others. Both taught me the precision and beauty of math. Both insisted on exacting standards for the highest quality of work. My father taught me to be bold. He has a PhD in inorganic chemistry and emphasized scientific innovation. To this day, he shares articles with the latest and greatest scientific findings, always pushing me to aim higher.

Candace Thille is director of learning science within Amazon’s Global Learning and Development organization. She obtained her master’s degree in computer science from Carnegie Mellon University and earned her PhD in education from the University of Pennsylvania.

Candace Thille
Candace Thille

Q. When do you think we'll reach that day that Brenda Wilkerson talked about last year?

I am going to change the question to respond to what I wish Brenda Darden Wilkerson had said: “I want our sons to say ‘I heard back in the day there was this problem that there weren’t enough women in tech. What was that like?” I do not mean to imply that the quote needs to be changed because the problem is only important if it is acknowledged by our sons, but rather that the problem will only be corrected when the problem, and the responsibility for correcting it, is owned by our sons too, not just our daughters.  When will we reach that day?  When gender is no longer seen as a feature of an individual that is relevant for encouraging, allocating, or selecting roles and responsibilities.

Q. What will it take to get there? 

First, an acknowledgement that the current systems and structures in STEM fields are grounded in the idea that gender and race are features of an individual that are relevant for encouraging, allocating, or selecting roles and responsibilities. Second, a commitment to ongoing inspection of those systems and structures for biases in order to change them. People would sometimes ask Ruth Bader Ginsberg “When will there be enough women on the court” and she would reply, “When there are nine”.  She would say then that “People are shocked, but there’d been nine men, and nobody’s ever raised a question about that”.  

Q. Who or what most inspired you to pursue your STEM career?

I have always been fascinated with how things work, both for the joy of understanding and to figure out how to make things work better. I have been awed by the discoveries that come from good research, and from the positive impact of using the results from research to make the world better. Both as an academic researcher and as a research scientist at Amazon, I situate my work in Pasteur's quadrant and work on projects that seek fundamental understanding of scientific problems, while also having immediate use for society.

Chao Wang is a senior applied science manager within the Alexa organization. She earned her PhD in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT).

Chao Wang
Chao Wang

Q. When do you think we'll reach that day that Brenda Wilkerson talked about last year?

I’m reminded of the Bill Gates quote, “We always overestimate the change that will occur in the next two years, and underestimate the change that will occur in the next ten. Don’t let yourself be lulled into inaction.” I’d like to think we could reach that state within the next 10 years, but it will probably take another generation of change. So I think closer to 2050.

Q. What will it take to get there?

I’ll share a very different perspective. I grew up in China and the education system back then made everyone decide their major in sophomore year of high school. That system channeled students to different college entrance exams depending on the choice (so your career paths are largely determined very early on). It was a 5:2 split ratio for STEM and non-STEM (probably matching the college admission ratio), and naturally only students who were really interested in a non-STEM career path self-selected into that track. The majority chose STEM. At the time, I did notice that more female students chose the non-STEM track, but plenty of us ended up in the STEM track, too (strength in numbers). I have observed that in the US, if you are ambivalent about STEM, then the gender stereotype works against young women pursuing STEM careers. I contrast that with the early days of computing in the US, when computer programmer was considered a female job, and you had a lot of female programmers in an otherwise male dominant technology industry and computing pioneers like Dr. Grace Hopper. It all changed (for the worse) within a generation, and we can change it back with the right societal mental shift.

Q. Who or what most inspired you to pursue your STEM career?

Growing up in China I never felt that STEM was somehow an unusual choice for a young woman. Math and physics were always my favorite subjects, and no one ever discouraged me from pursuing those interests. I enjoyed the problem solving of math and physics much more than courses requiring writing or memorization. I opted for the STEM track in high school and was admitted into a top engineering school in China for my undergraduate studies. My career path was more or less decided from that point in time.


Work with us

See More Jobs
US, WA, Seattle
The Alexa for Business (A4B) team is building new capabilities into Alexa that help professionals be more productive at work. In addition to teaching Alexa new things, we provide tools that administrators need to manage Alexa at scale across a large organization. These new capabilities are unlocking a whole new set of use cases for Alexa, from the Office to Hotel Rooms, Restaurants and even sports stadiums. Come join us and help us use the power of voice computing to solve completely new challenges!We are looking for passionate data scientists who are excited to solve challenging problems in voice experience modeling as well as help us launch a greenfield initiative in a new domain using the latest ML techniques. As a data scientist on A4B team, you will be developing next-generation voice recognition models products using state of the art machine learning (ML) models with a world class engineering team. You will also work as the leader in experimentation from statistical perspective and heavily influence business decisions.As a member of the A4B organization, you will spend your time as a hands-on machine learning practitioner and an experimentation leader. You will play a key role on the team, building machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of A4B customers worldwide.To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will· Be the single-threaded leader for all things Data Science for A4B, including (a) shaping the Data Science vision for the business, (b) proposing innovative Think Big ideas that will grow the business and getting them prioritized via planning process, and (c) executing on the Science roadmap.· Build new voice experiences for A4B· Develop and automate metrics and data visualizations that provide insights to the broader organization.· Design and build green field ML models (in partnership with the Product Management and Software Engineering teams) to solve business problems as part of new initiatives in new domains that we are investing in· Be an active contributor in terms of A4B strategic planning, business direction, insight generation, etc.· Regularly share findings and insights, both verbally and written, with the leadership team and in Town Hall settings with the entire org.
US, WA, Seattle
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.For our part, Amazon has begun the work of building incremental testing capacity.The lab lead will be responsible for leading a small team to conduct quality testing, root cause analysis testing, verification and validation testing. This lab deep-dives questions brought up by other facilities and develops solutions.Key Responsibilities:• Lead laboratory testing in a high complexity analytical/clinical laboratory covering all levels of complexity necessary for validation of potential diagnostics testing.• Be responsible for reviewing and releasing laboratory testing performed by laboratory technicians and reporting results in a timely and accurate manner• Oversee testing by medical laboratory technicians and specimen management• Analyze clinical laboratory specimens following the standard methods and procedures.• Ensure equipment and instruments remain in good operating condition, recognize any malfunctions and troubleshoot as needed• Verify, perform, process, and analyze specialized laboratory specimens consistent with laboratory procedural requirements with accuracy and efficiency and report test results• Define and Lead quality control procedures to ensure accuracy of data• Maintain updated understanding and knowledge of methods performed in the lab• Train others on specialized instructions for instruments/protocols (super users)• Identify and resolve equipment malfunctions; troubleshoot common errors• Recognize, document, and escalate protocol deviations in lab to lead/supervisor• Participate in the updating of departmental standard operating procedures and database to accurately reflect the current practice.• Maintain equipment and instruments in good operating condition
US, WA, Seattle
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.For our part, Amazon has begun the work of building incremental testing capacity.Key Responsibilities:· Perform all laboratory testing in a high complexity analytical/clinical laboratory covering all levels of complexity necessary for validation of potential diagnostics testing.· Be responsible for reviewing and releasing laboratory testing performed by laboratory technicians and reporting results in a timely and accurate manner· Oversee testing by medical laboratory technicians and specimen management· Analyze clinical laboratory specimens following the standard methods and procedures.· Ensure equipment and instruments remain in good operating condition, recognize any malfunctions and troubleshoot as needed· Verify, perform, process, and analyze specialized laboratory specimens consistent with laboratory procedural requirements with accuracy and efficiency and report test results· Perform tests under the direct supervision of the laboratory lead· Perform quality control procedures to ensure accuracy of clinical data (if applicable)· Maintain updated understanding and knowledge of methods performed in the lab· Act as go-to person when lab lead is not available· Train others on specialized instructions for instruments/protocols (super users)· Identify and escalate equipment malfunctions; troubleshoot common errors· Recognize, document, and escalate protocol deviations in lab to lead/supervisor· Participate in the updating of departmental standard operating procedures and database to accurately reflect the current practice.· Maintain equipment and instruments in good operating condition
US, CA, Hawthorne
Do you want to lead a team that builds new technology and science used by millions of people?The Devices Engagement Personalization Science team is looking for an Applied Science leader who has a solid background in applied machine learning, a deep passion for building data-driven products, an ability to communicate data insights and scientific vision, and a proven track record of leading both applied and data scientists to execute complex projects and deliver high business impact.Personalized recommendations are a key feature for all Amazon tablets and we make it easier for customers to find the content that interests them. Examples include:Our onboarding videos and content suggestions are personalized for each customer.We suggest a set of videos, books, and apps for our users that are tailored for their specific interests.Our special offers and marketing campaigns are personalized.In this role, you will:· Lead a team of talented applied scientists and data scientists to deliver production level, customer facing ML solutions that empower our software to make the best set of suggestions.· Work closely with product and technology leaders across the organization.· Develop a science roadmap and collaborate with stakeholders.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Hire and develop top talent and provide technical/career development guidance to both scientists and engineers in the organization.
US, VA, Herndon
Do you like helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success?AWS customers are diverse, the AWS Region is the foundation for offering services to our customers. Expanding customer use cases, new geographies, and the rapid adoption of cloud computing makes new region builds critical for AWS to address evolving customer needs. Why you will love it: You will have exposure to teams and leaders across the entire company. You will see many aspects of the Amazon business. You will have a direct impact on AWS growth and delivering major new capabilities for our customers. You will have ownership and responsibility for defining and executing processes that deliver both savings and productivity for AWS.AWS Region Services is looking for an exceptional, motivated Data Science Leader with a strong delivery record to build and manage a team of highly talented data scientists. This team will be dedicated to building Operational Excellence tooling to help service teams build faster, safer and decrease overall parity across regions. Our applications deal with a lot of data around deployments, actions and environment parameters. We need to have a better understanding around patterns in behavior, predictive analytics and data visualization of the data we have to help Service Teams and leaders.You will have the opportunity to work across multiple problem spaces with a primary focus on models and insights that will redefine how we optimize systems and services across AWS and jointly optimize across other platforms. You will be solving complex problems, working on difficult challenges in the data science space as the scale of our product portfolio grows.As Sr. Manager of Data Science within the AWS Region Services Organization, you will recruit and lead a high quality, creative, visionary data science team. You will play a key role on the leadership team that is setting the business and technical agenda for AWS. You will work closely with business teams, technology teams and operations teams around the world, make a huge, measurable impact to Amazon's customers, and build and innovate solutions that are simple and easy to maintain and scale. You are comfortable conversing with, collaborating with and persuading product, business and technology teams alike, and are poised and polished when presenting to senior level executives.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.This position requires that the candidate selected be a U.S. citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.
US, CA, Sunnyvale
Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Devices business? Come and join our creative team of scientists dedicated to building new consumer electronics!Working collaboratively, you will develop solutions to complex problems, such as designing the next generation of algorithms to drive features in emerging products like Amazon Halo, our new health and wellness tracker. As a Research Scientist, you will continue to contribute to the research community, by working with other scientists across Amazon Devices. Our Science community values teamwork, supports continued learning, and recognizes the need to experiment and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. Your work can be part of Amazon production system and result in concrete business impact.Responsibilities:· Collaborate with product managers and engineering teams to design and implement software solutions for new Amazon Devices· Design data collection studies and experiments, prototype and implement new learning algorithms and prediction techniques to build innovative product features· Understand algorithm performance with sensitivity to customer needs and equitable outcomes· Contribute to progress of the Amazon and broader research communities by producing publications
US, CA, San Francisco
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: Data Scientist IIWorksite: San Francisco, CAPosition Responsibilities:Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Interact with customer directly to understand their business problems and help them with defining and implementing scalable ML/DL solutions to solve them. Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, Redshift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, WA, Seattle
We are growing our collaborative group of engineers and applied scientists by expanding into new areas. Come and join us as we invent new ways to delight Amazon customers.Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products.As Launch Day Search Quality you will be the single threaded owner who will hire and grow a new team to drive improvements and mechanisms for Global Search Quality in (to-be-launched) international locales. You will invent mechanisms to evaluate and launch improvements for locales with a vast variety of languages, traffic patterns, cultures and preferences. You and your team will invent novel techniques that improve state of the art systems for low resource settings. You will invent and deploy techniques that work across languages, locales and different shopping modes.Do no hesitate to reach out if you have some of the following: ability to apply state of the art in large scale Machine Learning (e.g. semi-weakly-un-supervised deep learning, natural language understanding, self-supervised learning), curiosity to learn through controlled experimentation and/or experience with low latency production systems.You and your team will be able to deliver measure your impact for customers of the most popular shopping destination on this planet.We are an inclusive employer and value diversity at Amazon. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.scijobs
US, WA, Seattle
We are growing our collaborative group of engineers and applied scientists by expanding into new areas. Come and join us as we invent new ways to delight Amazon customers.We are Amazon's Global Search Quality team. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products.As an. Applied Scientist you will push boundaries in query understanding, semantic matching (e.g. is a drone the same as quadcopter?), relevance ranking (what is a "funny halloween costume"?), language identification (did the customer just switch to their mother tongue?), machine translation (猫の餌を注文する).Do no hesitate to reach out if you have some of the following: ability to apply state of the art in large scale Machine Learning (e.g. semi-weakly-un-supervised deep learning, natural language understanding), curiosity to learn through controlled experimentation or experience with low latency production systems.Like everyone else on the team, you will be regularly rewarded by measurable impact on customers like ourselves.We are an inclusive employer and value diversity at Amazon. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Apply now or ping Vaclav Petricek (https://www.linkedin.com/in/petricek) to learn more about the different ways you can have huge impact with us.scijobs
RO, Iasi
The Consumer Cloud Security (C2S) group is responsible for the protection of customer and corporate data. We are connected to all parts of Amazon's business and it’s massive, worldwide service-oriented architecture. We are starting the work on a new mission critical system that will preserve and improve the trusted experience that Amazon provides to its customers. This is a greenfield initiative with plenty of opportunity for innovation in the security space through new machine learning techniques.We are seeking a talented, self-directed Applied Scientist to work on the cutting edge security technologies. You'll design and run experiments, research new algorithms, and find new ways of protecting Amazon's customer trust. Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice. You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You enjoy and succeed in fast paced environments where learning new concepts quickly is a must. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems. Your strong communication skills enable you to work effectively with both business and technical partners.Key responsibilities:· Process and analyze large data sets using as many techniques as necessary· Deliver scalable models that can analyze large data sets efficiently· Build mathematical models to detect and classify specific data elements with high accuracy· Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.· Create, enhance, and maintain technical documentation, and present to other scientists and business leaders.
US, WA, Seattle
Are you passionate about leveraging data to deliver actionable insights that impact daily marketing activities at Amazon? The Customer Targeting team in Amazon is seeking an Applied Scientist to join our team to develop production quality machine learning solutions for optimizing the performance of Amazon’s marketing initiatives across channels and advertising formats. You have experience applying modern machine learning methods to answer key business questions, make strategic and tactical recommendations for change, and work with development teams and business leaders to drive these to production. You are entrepreneurial and able to work in a highly collaborative environment.This role requires an individual with strong quantitative modeling skills and experience getting these production ready. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment. You will be expected to:· Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.· Build statistical models required to measure the impact of cross-channel spend· Predict future customer behavior and business conditions through machine learning and predictive modeling.· Use optimization tools to recommend optimal spend across channels· Use analytical and predictive techniques to build models for optimizing targeting.· Translate prototype models to production quality, large scale software systems.· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
US, WA, Seattle
Prime Video is changing the way people watch movies and TV shows, with hundreds of thousands of titles available to stream and download on all your favorite devices - Amazon FireTV, iOS devices, Roku, game consoles and Fire Tablets. The mission of Prime Video- Product Analytics team is to drive product decisions that improve customer experience by building decision-making analytical products and deep customer insights. We are seeking a competent, curious, resourceful, and experienced Data Scientist who will work closely with other research scientists, machine-learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve optimization across all our powers our analytical ecosystem and day-to-day decision making. The scientist will also work with software engineers to put their algorithms into production. The team presents an exciting opportunity to work on very large data sets in one of the world's largest data warehouse environments. Our data warehouse is built on AWS cloud technologies such as Spectrum and Redshift for performing ETL processing of TBs of relational data.As a Sr. Data Scientist in this team, you will solve challenging problems that require a deep understanding of the Prime Video business in the context of engagement and revenue. You will identify specific and actionable opportunities to solve existing business problems in the Prime Video ecosystem, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced data extraction and transformation tools (e.g Spark, python, SQL), and will need to understand the source data and be able to synthesize it down to a form suitable for answering specific business questions, machine learning and econometric modeling. Your work will have a direct impact on the day-to-day decision making in the Prime Video team.
US, WA, Seattle
Work at the intersection of data science and economics.The DAC AdsEcon Team is looking for a Data Scientist III to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses econometrics, machine learning, and data science to help advertisers choose the right advertising product to meet their marketing goals. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.If you have a background in economics, computer science, statistics, or mathematics and have a passion for solving large, and impactful problems, this is the job for you. Key responsibilities of Data Scientist include the following:· Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics· Helping build data systems that leverage diverse data sources to understand how different advertiser’s decisions impact their performance across multiple advertising products.· Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across Amazon.About Amazon's Advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
DE, BE, Berlin
As a Senior Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search engine. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages, not only English and major languages of Europe, but also Turkish, Arabic, Japanese, and more. The team plays a central role in search query understanding, product indexing, and representations/embeddings of queries and products, all of which aid in improving the ranking and relevance of search results.This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You will propose and explore publication-worthy innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Your responsibilities include:· Analyze the data and metrics resulting from traffic into Amazon's product search engine· Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, such as indexing, ranking, and query understanding· Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production· Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IRYour benefits include:· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems· Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals· Excellent opportunities, and ample support, for career growth, development, and mentorship· Competitive compensation, including relocation support (for both domestic and international candidates)
US, WA, Seattle
Do you have the passion to drive performance of a business through creative analytical insight? Are you excited about Human Resources and bringing science to the art of managing and developing an extremely talented workforce? We are looking for a passionate, insightful, results-oriented Analyst to join a team chartered with building Human Resources Analytics for all of Devices & Services. From statistical analysis, predictive analytics, product building for reporting designed to scale, and requirements gathering, we do it. All with an aim to more effectively attract and develop our most valuable of all resources – our people.The Data Science, Workforce Insights role is ideal for someone with the analytical acumen to discover and communicate valuable staffing and workforce insights and recommendations.In this role, you will closely partner with the Devices & Services HR and Talent Acquisition leadership team. You will also work closely with cross-functional teams and leaders to understand business goals and priorities, in order to effectively and accurately strategize, plan and execute initiatives as it relates to workforce plans. Excellent interpersonal & communication skills, the ability to influence at an executive level, and the ability to tell customized end-to-end headcount progress-to-goal and movement story will be critical for success.This role performs advanced business analysis using various techniques and modeling (e.g. statistical, explanatory and predictive modeling and SQL data mining).The Team: How often have you had an opportunity to be a member of a team innovating and solving some of the world's toughest problems? You can expect all the challenges and benefits of a growing business: lots of room for improvement and innovation, a close-knit team that cares about one another as humans, and a fast-paced environment. These will require a willingness to dive into the details, solve new problems as they arise, leverage high judgment and gut instinct, look around corners, and always obsess over customers. Everyone on the team wears multiple hats, and ownership our end-products is key.Responsibilities:· Collaborate with HR, business leaders, and peer analysts/researchers on hypothesis-driven research projects to inform business actions· Design, develop and evaluate Talent Acquisition (TA) business reporting and insights· Establish scalable, efficient, automated, and easily repeated processes for large scale data analyses for the broader Amazon Devices org· Provide ad-hoc or special project statistical analysis to TA, HR and business leaders that enable them to achieve their goals, drive decision making and create new strategies where necessary· Gather, manage, and evaluate large datasets from multiple sources· Build and maintain strong partnerships across TA, HR and the business
US, WA, Seattle
Ever wonder how you can apply your analytics skills to drive customer experience improvements for a diverse, innovative, and fun company like Amazon? Amazon’s Customer Insights and Research team is looking for a Data Scientist to help do exactly that and much more! If you have experience in surveys, experimental design, statistical analysis, and NLP-based machine learning algorithms and are interested in going deeper into data, this is the right opportunity for you. Our team is responsible for conducting global NPS studies to help business teams drive strategic initiatives that advocate for the best possible customer experience. We have a diverse suite of skill sets on the team, including Business Analysts, Business Intelligence Engineers, Data Scientists, Product Managers, and Software Development Engineers. Data Scientists in our team apply their skills to design studies and surveys, design and apply statistical analyses, and apply NLP-based processing and machine learning algorithms. Data Scientists also continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics.
US, MA, Cambridge
Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to develop novel machine learning algorithms and modeling techniques to advance the state of the art in speech and audio processing. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives.
US, CA, Cupertino
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us
US, WA, Seattle
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.For our part, Amazon has begun the work of building incremental testing capacity.Key Responsibilities:· Perform all laboratory testing in a high complexity analytical/clinical laboratory covering all levels of complexity necessary for validation of potential diagnostics testing.· Be responsible for reviewing and releasing laboratory testing performed by laboratory technicians and reporting results in a timely and accurate manner· Oversee testing by medical laboratory technicians and specimen management· Analyze clinical laboratory specimens following the standard methods and procedures.· Ensure equipment and instruments remain in good operating condition, recognize any malfunctions and troubleshoot as needed· Verify, perform, process, and analyze specialized laboratory specimens consistent with laboratory procedural requirements with accuracy and efficiency and report test results· Perform tests under the direct supervision of the laboratory lead· Perform quality control procedures to ensure accuracy of clinical data (if applicable)· Maintain updated understanding and knowledge of methods performed in the lab· Act as go-to person when lab lead is not available· Train others on specialized instructions for instruments/protocols (super users)· Identify and escalate equipment malfunctions; troubleshoot common errors· Recognize, document, and escalate protocol deviations in lab to lead/supervisor· Participate in the updating of departmental standard operating procedures and database to accurately reflect the current practice.· Maintain equipment and instruments in good operating condition
US, CA, Cupertino
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us