Senior Applied Scientist, Workplace Health & Safety
Description
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.
Successful Candidate
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.
Key job responsibilities
- 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
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.
Company
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 here for more information.
Job ID
A104474288