Sr. Applied Scientist, Special Projects
Amazon is hiring a Sr. Applied Scientist, Special Projects in New York, United States. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, Java and C among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Lead and execute complex machine learning and AI research projects from ideation to production deployment at Amazon.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. 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.
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
Key job responsibilities
- Lead and execute complex, ambiguous research projects from ideation to production deployment
- Drive technical strategy and roadmap decisions for ML/AI initiatives
- Collaborate cross-functionally with product, engineering, and business teams to translate research into scalable products
- Publish research findings at top-tier conferences and contribute to the broader scientific community
- Establish best practices for ML experimentation, evaluation, and deployment
Basic qualifications
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
Preferred qualifications
- Experience with autonomous AI frameworks (e.g. Dreamer, PlaNet, JEPA, NVIDIA Cosmos)
- Knowledge of decentralized optimization methods (e.g. swarm intelligence) Familiarity with advanced optimization and control methods (multi-objective optimization, constrained optimization, discrete optimization, model-based optimization, stochastic optimization, distributed control).
- Experience developing and maintaining digital twins
- Experience with multiscale geospatial modeling and forecasting
- Track record of translating research into production systems at scale
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Sr. Applied Scientist, Special Projects at Amazon rates 100 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in applied scientist jobs at this level
Pay
- Typical applied scientist job
- $167k
This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where applied research was part of your work. What did you do?
- Tell me about a project where optimization was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Artificial Intelligence, Applied Research, Optimization, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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