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Advance the state of the art in customer-obsessed science.
Image shows Cristiana Lara, a research scientist, standing outside and smiling with a tree in the background
My models and tools actually get to change business decisions and have a direct, positive impact for our customers.
Cristiana Lara, research scientist

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2,075 results found
  • (Updated about 6 hours ago)
    Job summaryAWS AI/ML is looking for world class scientists to join its AI Research and Education group, which brings science and science-related engineering work to Amazon’s cloud-based AI services, open source libraries, and education projects. In this role, you will work with your peers and senior management to set direction for Amazon’s AI efforts. Our mission is to put the power of AI in the hands of every developer. You will lead our efforts in AutoML, including both the research side and the open source library, AutoGluon. You will be responsible for mentoring a team of applied scientists and develop top talent. You will partner with engineering leaders to deliver remarkable new AWS services and features that leverage Machine Learning, Deep Learning, and AutoML.As a Principal Applied Scientist, you will identify science problems, create roadmaps for forward-looking research, communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with teams of talented scientists and fill the ranks by attracting the best scientists in machine learning. You will work with talented peers and leverage Amazon’s heterogeneous data sources and large-scale computing resources.Key job responsibilities· Map business requirements and customer needs to a scientific problem.· Align the research direction to business requirements and make the right call on research/development schedule and prioritization.· Research, design and supervise the implementation of scalable machine learning (ML) models for AutoML, and/or other scalable computational models to solve problems that matter to our customers in an iterative fashion.· Mentor and develop junior applied scientists and developers who work on data science problems in the same organization.· Stay informed on the latest machine learning, deep learning, and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.About the teamInclusive Team CultureHere 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 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
  • US, WA, Bellevue
    Job ID: 1833801
    (Updated 1 day ago)
    Job summaryAmazon Flex is re-imagining what it means to work, and we need your help. We're in search of an applied scientist to help us solve machine learning problems around classification, language understanding and business optimization.Flex (flex.amazon.com) is a gig economy program that lets anyone become their own boss (a "delivery partner") and set their own schedule, by delivering packages to Amazon customers. The Flex app coordinates delivery partners' work with Amazon's cutting-edge logistics technologies. It's the home to every feature a delivery partner would need: on-boarding, delivery scheduling, routing and navigation, tracking their earnings, and more. Delivery partners are a key ingredient in ensuring a great experience for Amazon's customers, and we're building features to engage with our partners like never before.Do you enjoy...· Directly impacting how customers experience your products?· Leading a major change in how people are recognized for their work?· Working alongside creative, fun and motivated teammates?· Solving complex problems at massive scale?· Anticipating the next big problem to solve?Then join the team.
  • (Updated 1 day ago)
    Do you have experience in Query Optimization? Ever thought about how much more fun this will be with a graph database system, where query languages are still evolving fast? Come join our creative team of engineers dedicated to making Amazon Neptune ever faster and better!In this position, you will work on building database systems specifically catered to support graph databases. Apply your research and software engineering skills to build and apply new techniques towards graph query planning, optimization and execution. Your work will directly impact the performance of the queries that our customers run on Neptune. Work with and learn from experts in the field of databases, graph technologies and semantic web. Gain the exposure to learn about other related AWS services.Amazon Neptune is a fast, scalable, fully-managed graph database service, already used by thousands of customers around the globe. Neptune powers graph use cases such as recommendation engines, fraud prevention, knowledge graphs, drug discovery, and many more. We are constantly improving query performance and adding new features to make all these use cases run increasingly better and to create more impact for our customers.The core of Amazon Neptune is a purpose-built, high-performance graph database engine capable of storing hundreds of billions of relationships and querying with milliseconds latency. Neptune supports both the Resource Description Framework (RDF) and property graph data models and their respective query languages.To learn more about Amazon Neptune visit: https://aws.amazon.com/neptune/Inclusive Team CultureHere 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 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.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
  • US, CA, Santa Monica
    Job ID: 1833142
    (Updated about 10 hours ago)
    Job summaryAmazon Advertising seeks an Economist to help develop an automated financial forecasting system for our DSP advertising business, and help model key relationships that drive advertiser value and impact our financial performance. We are looking for a motivated candidate who has operated successfully in a fast-paced, global, results-oriented environment and has the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of analyses. The successful candidate will collaborate closely with business teams to help execute and shape our product and financial strategy.If you enjoy using Econometric methods to shape strategy and build new initiatives from concept to full-scale operations this will be a good match. We are looking for a highly motivated individual to develop deep industry understanding, create new models gaining insight into advertising performance, analyze monetization strategies to maximize revenue, and provide guidance for feature roadmap prioritization and decision-making. This position will collaborate with business leaders on a daily basis and will be contributing to overall financial modeling and analysis during our operating cycle plans, periodic forecast updates, requirements planning, business reviews, and providing business insights into key initiatives.The successful candidate will be a self-starter who is comfortable with ambiguity; dives deep into data to find key relationships, creates models to better understand and forecast processes, is detail oriented and has the ability to work well with cross-functional teams including product development, science, sales, other finance teams, and senior leaders.About the teamThis role is open to the following locations: Los Angeles, Seattle, San Francisco, Washington DC/Arlington, VA.
  • DE, BE, Berlin
    Job ID: 1832995
    (Updated 1 day ago)
    Amazon Simple Storage Service (S3) is storage for the Internet. Through the use of pioneering techniques in storage & computing, customers can reliably store their data on Amazon’s proven computing infrastructure to achieve virtually limitless storage capacity at minimal cost. Amazon S3 provides a simple web services interface that enables customers to store and retrieve any amount of data from anywhere in the world. We build and run the largest commercial storage system in the world with trillions of objects and regularly serving millions of requests per second.We’re looking for an Applied Scientist to join the team in Berlin, Germany to help us build a next generation product. The ideal candidate is excited about the incredible opportunity that cloud computing represents, and is passionate about delivering quality services in a hyper-growth environment where priorities can shift fast. You’ll make our customers’ lives better through the features and service improvements that you own and deliver, and will work with other leaders in the team to guide both the success of the Berlin office and S3 as a whole. As part of our team, you’ll be able to bring innovation and execute on new ideas that will raise the bar on what our customers can achieve with S3. You will be working with customers to design and build the technology that powers applications that you love like Airbnb, Netflix, Uber, and many more.If this sounds like you, come join us and help AWS continue to write the cloud computing story for the industry.Work-life Balance - Our team works together to provide work/life balance for all team members. We recognise that the circumstances of our team members vary, and we balance work across the team so we’re all able to maintain standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.Mentorship & Career Growth - We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level, etc. We can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusive Team Culture - We have a diverse team and drive towards an inclusive culture and work environment. Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Our team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Amazon Women and Engineering, and LGBTQ+Ownership is central to everything we deliver at Amazon. You will own the entire lifecycle of your work from design to implementation, testing, and operations. We strive to build a collaborative work environment that lets you both broaden your impact and grow with the support of mentors and senior engineers on the team.Creating a reliable, scalable, and flexible web service requires a deep understanding of the fundamentals of Computer Science and practical experience building large-scale distributed systems. You should be somebody who enjoys working on solving complex problems, is customer-centric, and feels strongly not only about applied science to innovate on behalf of our customers. Join us and help solve a challenging set of problems in a space packed full of opportunities.Key responsibilities include:· Researching, designing and developing innovative solutions to complex problems in storage systems such as S3· Defining and executing on a research roadmap for S3. You’ll know and talk with your stakeholders on a regular basis, as well as using data and metrics to understand how your service is used, and build and deliver on a roadmap that delights our customers.· Having fun working on ground breaking technology with people just as passionate about their work as you!We at AWS value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The Berlin S3 team is fun, ambitious, growing, and a great place to be able to have impact. If you’re a passionate software engineering leader excited about solving difficult problems at the challenging scale of AWS, we’d love to hear from you.A day in the lifeAbout the hiring groupJob responsibilities
  • US, MA, Boston
    Job ID: 1832976
    (Updated 1 day ago)
    Job summaryAmazon Detective team is looking for a scientist with a strong background in machine learning and distributed computing to join our group that spearheads the development of next-generation graph-based analytics and AI systems for security investigations.Amazon Detective is one of the AWS External Security Services. Amazon Detective makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities.We are a team of scientists with varied research backgrounds and experience who worked on problems ranging from discovery of gravitational waves, to quantum computing, to robotics and more. We embrace diversity of thoughts and encourage original ideas. We emphasize collaborative work culture and support professional growth. Our team is tackling some of the most challenging problems at the intersection of cyber-security, big data, and machine learning. If you are motivated to work on advancing technology and making a positive societal impact at the unprecedented scale, then this is the team for you.The AWS External Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. Our scientists work hands-on in close collaboration with security technicians, engineers, and product managers. We are customer-obsessed, and focus on research that brings value to our customers.Key Responsibilities:· Design, prototype, and validate graph models for security data, using both quantitative and business judgment· Develop new data-analysis algorithms and tools· Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex production services.· Report results in a scientifically rigorous way· Collaborate with security engineers and other scientists at Amazon on the state-of-the-art research projectsHere 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.About UsInclusive Team CultureHere 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 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.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
  • US, MA, North Reading
    Job ID: 1832754
    (Updated 1 day ago)
    The Research and Advanced Development team at Amazon Robotics is seeking innovative hands-on scientists to work on cutting edge algorithms to power automation in Amazon’s order fulfillment and transportation network. Our multi-disciplinary team includes scientists with backgrounds in AI planning and scheduling, robotic grasping and manipulation, machine learning, and operations research. We work on problems such as:- Dynamic allocation and scheduling of tasks to thousands of robots- Learning how to manipulate all the products that Amazon sells- Planning and coordinating the paths of thousands of robots- Co-design of robotic logistics processes and the algorithms to optimize themThe ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and 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 reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
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