Senior GenAI Scientist, Foundation AI Assets

Amazon Inc.

Boston, Northern (MA, KY)

Hybrid

USD 167,000 - 226,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking an Applied Scientist III for the Foundation AI Assets (FAI) team in the USA (Massachusetts, Boston) to advance GenAI with large language models. You will design novel ML/DL models and drive research directions, mentoring peers and collaborating with engineering, product and science partners.

The role emphasizes shipping production-ready code, rigorous evaluation, and shaping long-term technical strategy within a high-impact GenAI effort.

Qualifications

  • Experience with neural deep learning methods and machine learning.
  • 5+ years of building machine learning models for business applications.
  • PhD, or Master's degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.

Responsibilities

  • Design and implement novel ML/DL models from research to production.
  • Drive the scientific agenda and align with technical leadership.
  • Evaluate and improve model performance with rigorous experiments.
  • Mentor and coach scientists and engineers across the organization.
  • Collaborate cross-functionally to translate business problems into scientific approaches.

Skills

Deep learning
Business ML modeling
Mentoring
Languages (Java/C++/Python)

Education

PhD / MSc + 6+ years applied research

Tools

PyTorch
TensorFlow
Java
C++
Python

Job description

Amazon is seeking an Applied Scientist III for the Foundation AI Assets (FAI) team in the USA (Massachusetts, Boston) to advance GenAI with large language models. You will design novel ML/DL models and drive research directions, mentoring peers and collaborating with engineering, product and science partners.

The role emphasizes shipping production-ready code, rigorous evaluation, and shaping long-term technical strategy within a high-impact GenAI effort.

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