Founding members of Black in Robotics Monroe Kennedy III and Ayanna Howard with a robot.
Ayanna Howard, chair of the School of Interactive Computing with the College of Computing at Georgia Tech, and Monroe Kennedy III, an assistant professor of mechanical engineering at Stanford University, are founding members of Black in Robotics (BiR), and members of the organization's leadership team. On Nov. 14, BiR and Amazon Robotics will announce they're collaborating to create a regional BiR chapter in Boston. It is the first of what BiR hopes will be many chapters established across the US.
Credit: Glynnis Condon, Georgia Tech, Stanford

Amazon Robotics is primary sponsor of new Black in Robotics Boston chapter

Recently formed organization advocates for more diversity, inclusion, and equity within robotics field.

At a virtual student event connected to the International Conference on Intelligent Robots and Systems (IROS), Amazon Robotics and the recently established Black in Robotics (BiR) organization will announce tomorrow they’re collaborating to create BiR’s first regional chapter, the first of what BiR hopes will be many chapters established across the US.  

Amazon Robotics’ sponsorship includes financial support for events and other activities in the Boston area, as well as providing meeting and event space in Amazon's offices in Cambridge, Massachusetts.

The Boston chapter will help create opportunities for up-and-coming roboticists, and help enrich the company’s talent pipeline, says Tye Brady, Amazon Robotics’ chief technology officer. Amazon Robotics’ headquarters is located in North Reading, Massachusetts, just north of Boston.  The Boston chapter will help Black engineering and science students at Boston-area colleges and universities such as MIT, Harvard, Boston University, Boston College, Northeastern, the University of Massachusetts, Tufts, Worcester Polytechnic Institute, Olin College, and Brown University, network and obtain mentoring and internship  opportunities from area academic and industry professionals.

“Black in Robotics is really about building community and advocating for diversity, and encouraging accountability,” said Ayanna Howard, chair of the School of Interactive Computing within the College of Computing at Georgia Tech, one of BiR’s founders, and a member of its leadership team. “We feel it makes sense to start in Boston because of the large robotics community that exists there, and because there are a large number of students there attending regional universities. It’s an ideal location to start because we can reach out to the students and reach engineers there, and establish a presence, and a blueprint for how we can build communities elsewhere.”

“If you’re an underrepresented minority student at one of the area colleges and universities, you might be only one of two or three people who look like you in your classes, and if you’re a professional working in industry, you might also be only one of two or three roboticists who look like you in your organization,” Howard added. “So this chapter is about building community, and helping students and professionals develop a network, and avoid the isolation they might otherwise feel.”

“We are really driven by the fact that we need to be the change we want to see,” added Monroe Kennedy III, an assistant professor of mechanical engineering at Stanford University who is also a founding member of BiR, and a member of its leadership team. “African Americans especially, but minorities in general, are underrepresented in STEM, and in robotics. As members of the robotics community, we recognize how valuable being a member of the community is to every aspect of our lives. So our objective is to make that opportunity available to more underrepresented minorities.”

Issues of diversity are on the agenda at AfroTech World

We asked some Black scientists to discuss the issues limiting underrepresented minorities’ involvement in the technology industry, and to share their own experiences. See what they had to say.

“The current and pervasive lack of racial, ethnic, and gender diversity in the technology ecosystem presents a significant national challenge,” says a report on women and girls of color in computing from the Kapor Center, and other contributors.

Brady says Amazon Robotics is excited to support BiR’s mission of bringing together researchers, industry professionals, and students in robotics to support one another, and help navigate academic, industry, and entrepreneurial paths. When Howard talked with Brady recently about how to address systemic inequities in robotics and the role Amazon Robotics could play in supporting the Boston BiR chapter, he didn’t hesitate.

“Ayanna is an amazing individual with deep technical chops.  Whenever she gets behind something, I pay attention,” Brady said. “I’m excited to support her and the organization’s mission.”

Brady believes it’s important to define the future of robotics with a mindset of diversity and inclusion.

Tye Brady
Tye Brady, Amazon Robotics' chief technology officer, says the Boston chapter of Black in Robotics will help create opportunities for up-and-coming roboticists, and help enrich the company's talent pipeline.

“Why do I say that?  Three reasons,” Brady said. “First, we become more creative with diverse viewpoints and perspectives, which ultimately leads to better robotics. Second, diversity is the answer to adversity. By that I mean, teams become stronger when they’re diverse; they bring more opportunities, more experience, and more viewpoints to the challenge of tackling hard problems. And third, we can source talent from a much larger pool of talent. We’re constantly seeking the best and the brightest to help us reimagine the future, and that means including others than yourself. We really need to grow the talent pipeline in computer engineering generally, and robotics more specifically, and this is a great opportunity to do that.”

The importance of mentoring

Kennedy says the new BiR Boston chapter represents the deep commitment industry and academia have to increasing the number of underrepresented minorities within STEM professions.  He’s excited about the forthcoming opportunities for students, faculty, and industry professionals to learn from each other, and collaborate on projects together.

“This is really a great opportunity for academia and industry to come together, put everything aside, and really come together as roboticists who care about each other, and want to help one another.  This first chapter can really facilitate that vision,” Kennedy said.

The mentorship component of BiR’s vision resonated with Brady.

“I just think about my own experiences when it comes to having mentors, having people help you when you have an interest in something, but no experience,” Brady said. “I’m thankful to those people who extended a helping hand to me. I’m thankful to those companies who said, ‘I can help you; I can give you a chance.’ I’ve lived that, and it’s important to pass that experience on to others. This initiative provides a great opportunity to do that.  Not just for myself, but for our entire Amazon Robotics team.”

Kennedy says he, too, has benefited from many mentors in his career journey, and he’s pulled together different attributes from each to help guide his career and lifestyle choices.

“One thing that was lacking is there wasn’t necessarily one place I could go where these examples came together in a nice, cohesive way,” Kennedy says. “This is something Black in Robotics has to offer. We want to bring these individuals, these examples, together in a cohesive way, so students don’t have to look all over the place to get exposed to these positive examples, to find their heroes.”

Mentorship is a critical component of Howard’s role as a professor at Georgia Tech.

“My group at Tech is very diverse; it’s representative of the world and I hope all of them pursue a career in robotics,” Howard said. “I mentor them, not just academically, but socially as well. I introduce them to people, and I work to push them out front and promote them. And we just need more of that. That’s what resonates for me with this Boston chapter; it’s that ability to network with others that doesn’t happen naturally without this kind of organization. We’re creating the water cooler where people can come together, and networking will be a natural byproduct of that.”

Education and community outreach

Education and community outreach is another component of BiR’s mission.  This, too, speaks to Brady, who’s concerned not only by the lack of underrepresented minorities within the tech industry overall, and the robotics field more specifically, but with declining college enrollments in STEM-related courses.

“We have to get to the K through 12 kids sooner, and engage them in computer science, and science-related topics sooner,” Brady said. “That’s one of the things we hope to enable with this chapter. We want to create robotics ambassadors who can get engaged with K through 12 kids, and share their experiences and their passion for robotics. “Our entire community needs to get involved because we need more college graduates with computer science degrees, engineering degrees, and graduates who are STEM minded.  So that’s another aspect of this initiative that we’re really excited about.”

"Outreach at every level of a student’s education is required"

Four economists from diverse backgrounds shared how economics can address its diversity problem and talked about how their lives have shaped their work as economists.

Howard agrees, though she emphasizes that the burden shouldn’t solely rest with Black roboticists to help drive change within the field.

“There has been a lot of progress; the needle has moved,” she says. “It just hasn’t moved at the rate is has in other fields like medicine or law. The way we’ve established this organization from the outset is that allies are a pillar. Our mission isn’t just to connect Black roboticists with other Black roboticists. We don’t believe that will move the needle. People like myself, who have been in this field for a while, shouldn’t bear the burden of fixing robotics.  That’s why our approach has been to bring in allies from the beginning; we’ve created an ally steering committee because this isn’t a Black or Brown problem, this is a robotics problem.”

Those of us who have more senior roles in our field have helped knock down some of the walls, but we need to make sure that even though we’ve knocked down some walls, the road for future roboticists is more comfortable to travel on.
Ayanna Howard

“Some of this is also about calling ourselves out,” Howard continues, “to say ‘Look, this is as much our fault as it is society’s fault, and therefore we need to play a role in fixing it. Those of us who have more senior roles in our field have helped knock down some of the walls, but we need to make sure that even though we’ve knocked down some walls, the road for future roboticists is more comfortable to travel on.”

In addition to Howard and Kennedy, other members of BiR’s leadership team include Carlotta Berry, a professor of electrical and computer engineering at the Rose-Hulman Institute of Technology; Edward  Tunstel, group leader, and associate director of robotics at Raytheon Technologies’ Research Center; Quincy Kissiedu-Brown, cofounder of blackcomputerHER; Maynard Holliday, senior engineer, Rand Corporation; Yves Nazon II, a graduate research assistant at the University of Michigan; and Kwesi Rutledge, a PhD candidate in electrical engineering at the University of Michigan.

Howard says the Boston chapter’s first event is scheduled for January. Individuals interested in becoming a BiR member can visit the organization’s website.

Research areas

Related content

RO, Iasi
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). Please note these are not remote internships.
EE, Tallinn
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). Please note these are not remote internships.
GB, London
Are you a MS student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide. If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you’ve come to the right place. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science Key job responsibilities As a Data Science Intern, you will have following key job responsibilities: • Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems. • Work on an interdisciplinary team on customer-obsessed research • Experience Amazon's customer-focused culture • Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide • Build and deploy Machine Learning models using large data-sets and cloud technology. • Create and share with audiences of varying levels technical papers and presentations • Define metrics and design algorithms to estimate customer satisfaction and engagement A day in the life At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain and the UK). Please note these are not remote internships.
IL, Tel Aviv
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, South Africa, Spain, Sweden, UAE, and UK). Please note these are not remote internships.
GB, London
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Jordan, Luxembourg, Netherlands, Poland, Romania, Spain, South Africa, UAE, and UK). Please note these are not remote internships.
US, WA, Seattle
Passionate about books? The Amazon Books personalization team is looking for a talented Applied Scientist II to help develop and implement innovative science solutions to make it easier for millions of customers to find the next book they will love. In this role you will: - Collaborate within a dynamic team of scientists, economists, engineers, analysts, and business partners. - Utilize Amazon's large-scale computing and data resources to analyze customer behavior and product relationships. - Contribute to building and maintaining recommendation models, and assist in running A/B tests on the retail website. - Help develop and implement solutions to improve Amazon's recommendation systems. Key job responsibilities The role involves working with recommender systems that combine Natural Language Processing (NLP), Reinforcement Learning (RL), graph networks, and deep learning to help customers discover their next great read. You will assist in developing recommendation model pipelines, analyze deep learning-based recommendation models, and collaborate with engineering and product teams to improve customer-facing recommendations. As part of the team, you will learn and contribute across these technical areas while developing your skills in the recommendation systems space. A day in the life In your day-to-day role, you will contribute to the development and maintenance of recommendation models, support the implementation of A/B test experiments, and work alongside engineers, product teams, and other scientists to help deploy machine learning solutions to production. You will gain hands-on experience with our recommendation systems while working under the guidance of senior scientists. About the team We are Books Personalization a collaborative group of 5-7 scientists, 2 product leaders, and 2 engineering teams that aims to help find the right next read for customers through high quality personalized book recommendation experiences. Books Personalization is a part of the Books Content Demand organization, which focuses on surfacing the best books for customers wherever they are in their current book journey.
IN, KA, Bengaluru
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques
CA, ON, Toronto
Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique opportunity to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer. As a Principal Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work at scale. This position requires experience with developing Computer Vision, Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. Key job responsibilities - You will be responsible for defining key research directions in Multimodal LLMs and Computer Vision, adopting or inventing new techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. - You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. - You will also participate in organizational planning, hiring, mentorship and leadership development. - You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
DE, BE, Berlin
Are you interested in enhancing Alexa user experiences through Large Language Models? The Alexa AI Berlin team is looking for an Applied Scientist to join our innovative team working on Large Language Models (LLMs), Natural Language Processing, and Machine/Deep Learning. You will be at the center of Alexa's LLM transformation, collaborating with a diverse team of applied and research scientists to enhance existing features and explore new possibilities with LLMs. In this role, you'll work cross-functionally with science, product, and engineering leaders to shape the future of Alexa. Key job responsibilities As an Applied Scientist in Alexa Science team: - You will develop core LLM technologies including supervised fine tuning and prompt optimization to enable innovative Alexa use cases - You will research and design novel metrics and evaluation methods to measure and improve AI performance - You will create automated, multi-step processes using AI agents and LLMs to solve complex problems - You will communicate effectively with leadership and collaborate with colleagues from science, engineering, and business backgrounds - You will participate in on-call rotations to support our systems and ensure continuous service availability A day in the life As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. About the team You would be part of the Alexa Science Team where you would be collaborating with Fellow Applied and research scientists!
US, WA, Redmond
Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and under-served communities around the world. We are looking for an accomplished Applied Scientist who will deliver science applications such as anomaly detection, advanced calibration methods, space engineering simulations, and performance analytics -- to name a few. Key job responsibilities • Translate ambiguous problems into well defined mathematical problems • Prototype, test, and implement state-of-the-art algorithms for antenna pointing calibration, anomaly detection, predictive failure models, and ground terminal performance evaluation • Provide actionable recommendations for system design/definition by defining, running, and summarizing physically-accurate simulations of ground terminal functionality • Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloud Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A day in the life In this role as an Applied Scientist, you will design, implement, optimize, and operate systems critical to the uptime and performance of Kuiper ground terminals. Your contributions will have a direct impact on customers around the world. About the team This role will be part of the Ground Software & Analytics team, part of Ground Systems Engineering. Our team is responsible for: • Design, development, deployment, and support of a Tier-1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world • Ground systems integration/test (I&T) automation • Ground terminal configuration, provisioning, and acceptance automation • Systems analysis • Algorithm development (pointing/tracking/calibration/monitoring) • Software interface definition for supplier-provided hardware and development of software test automation