Senior Applied Scientist, ProdOps OAT, Project Kuiper

Amazon

  • Bellevue, WA
  • Permanent
  • Full-time
  • 11 hours ago
DESCRIPTIONProject Kuiper is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.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.Role OverviewAs a Senior Applied Scientist (AS), you will lead the design, development, and implementation of novel scientific approaches and advanced machine learning solutions that directly influence Kuiper production manufacturing workflows. You will build and deploy highly-trained AI agents for quality control and process optimization, combining deep technical expertise with strong business judgment to make strategic decisions around technologies, models, and methodologies to deliver high-impact solutions.As a pioneering scientist within Kuiper ProdOps, you will tackle new initiatives and engage effectively with both technical and business stakeholders. Your ability to synthesize and communicate complex insights to diverse audiences will be key to solving business problems and innovating for the future, You will strive for simplicity, and demonstrate creativity and high judgment.Key job responsibilities
- Architect, design, and implement innovative ML/AI solutions using a wide range of techniques, including NLP, Computer Vision, and advanced statistical modeling, to solve complex, high-impact business problems.
- Lead the end-to-end lifecycle of research and development, from creating a hypothesis, defining a problem and building a prototype to deploying a scalable, production-ready solution.
- Partner with cross-functional teams-including Product, Engineering, and Business-to translate ambiguous business problems into well-defined, measurable research and development projects.
- Define and drive the long-term research roadmap for the team, identifying emerging opportunities and influencing product strategy to anticipate future business needs.
- Take ownership of the experimentation lifecycle, from hypothesis generation and A/B testing to analyzing results and progressively improving model performance in production.
- Serve as a technical leader, providing technical guidance and mentorship to junior scientists and engineers and driving organizational best practices.
- Write artifacts and present complex findings and technical trade-offs to both technical and non-technical stakeholders, effectively communicating the business value and impact of the solution
- Champion the ethical use of AI, ensuring all data and algorithmic practices adhere to Amazon's guidelines and promote fairness and transparency
- Continuously evaluate and apply the latest research and technological advancements in machine learning and related fields to enhance our product offerings.
- Contribute to Amazon's global science community through collaboration and publication of ground-breaking researchBASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in manufacturing or aerospace industries
- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
- Strong ability to interact, communicate, present, and influence within multiple levels of the organization.PREFERRED QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with conducting research in a corporate setting
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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