Applied Scientist III, Foundation AI Assets (FAI)

Amazon is hiring an Applied Scientist III, Foundation AI Assets (FAI) in Boston, United States. It pays $167k-$226k a year and Level rates it ; you can apply on Level.

AI in this role

pytorchtensorflow

The Foundational AI Assets (FAI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs).

Key job responsibilities
- Design and implement novel machine learning and deep learning models to address scientifically complex problems, taking solutions from research through production deployment while maintaining high standards for code quality and system scalability.
- Drive the scientific agenda for your team by identifying new opportunities, proposing research initiatives, and securing alignment with technical leadership on strategic priorities.
- Evaluate and improve model performance using rigorous experimental methodologies, applying techniques such as feature engineering, hyperparameter optimization, and advanced neural network architectures (e.g., Transformers, CNNs) built with frameworks like PyTorch or TensorFlow.
- Mentor and coach scientists and engineers across the organization, conduct thorough code and design reviews, and contribute to the professional growth of your peers while raising the technical bar for the team.
- Collaborate cross-functionally with engineering, product, and science partners to translate ambiguous business problems into well-defined scientific approaches, balancing short-term customer needs with long-term technical vision.

A day in the life
You might start your morning reviewing experiment results and refining a model architecture before joining a design review where you provide guidance on a colleague's approach to a new problem. After lunch, you dive into writing production-quality code for a critical component of your system, then shift to drafting a scientific document that outlines your team's next research direction. Throughout, you engage with engineers and scientists across teams, sharing your expertise and learning from theirs.

About the team
The FAI team has the mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.

Basic qualifications

- Experience with neural deep learning methods and machine learning
- 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

Preferred qualifications

- Experience with building agents OR training LLMs for agentic tasks

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.

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, MA, Boston - 167,100.00 - 226,100.00 USD annually

How we rate this

Applied Scientist III, Foundation AI Assets (FAI) at Amazon rates 95 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.

Classification

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. Open the description and count.

Key facts

Applied Scientist III, Foundation AI Assets (FAI) is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $167k-$226k a year.
The role is based in US, MA, Boston.
The job was posted on October 8, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

PyTorchTensorFlow

Questions you could be asked

What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: PyTorch and TensorFlow. 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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