Are you an experienced scientist passionate about pushing the boundaries of machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for a Senior Applied Scientist with a proven track record of transforming research into scalable, real-world solutions. You will lead complex scientific initiatives, mentor junior scientists, and drive innovation on some of the most challenging problems in the industry.

A successful candidate will be a strategic thinker and technical leader who thrives in ambiguous environments, demonstrates exceptional attention to detail, and excels in a fast-paced, ever-evolving landscape. As a Senior Applied Scientist, you will:

- Own and drive the end-to-end design, development, and deployment of large-scale scientific systems

- Define and lead long-term technical roadmaps that align with Amazon Science's strategic goals

- Mentor and guide Applied Scientists, research interns, and cross-functional team members to elevate the overall technical excellence of the team

- Collaborate with senior Amazon scientists, engineering leaders, and business stakeholders to identify opportunities, define requirements, and deliver impactful solutions at scale

- Publish and present research findings internally and externally, contributing to Amazon's scientific reputation and thought leadership

- Independently identify novel research directions and translate them into production-level systems capable of handling massive datasets and solving previously unsolved problems

The ideal candidate brings deep scientific expertise combined with strong engineering judgment, the ability to influence without authority, and a passion for working with diverse, cross-functional teams. You should be equally comfortable contributing original research and driving the practical implementation of solutions that deliver measurable business impact.

Key job responsibilities

Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.

For more information on the Amazon Science community please visit https://www.amazon.science.

BASIC QUALIFICATIONS

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models or developing algorithms for business application experience

- Knowledge of programming languages such as C/C++, Python, Java or Perl

- Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

- 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TN, Nashville - 158,800.00 - 214,800.00 USD annually

USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually