Applied Scientist - AGI Customization & Fine-Tuning

Amazon; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to advance customization for Amazon Nova, enabling enterprises to tailor large language models with SFT, distillation, and RL techniques.

You will collaborate across teams to build scalable tooling on SageMaker, run experiments to balance accuracy, latency, and cost, and contribute to responsible AI datasets and evaluation frameworks.

Qualifications

• PhD or MS with substantial ML/CS experience.
• Experience with state-of-the-art deep learning model architectures.
• Proven ability to publish in top-tier venues or patents.

Responsibilities

• Develop customization techniques for model adaptation (SFT, distillation, RL).
• Collaborate to build enterprise-ready tooling on SageMaker.
• Design experiments to optimize accuracy, latency, and cost.
• Create evaluation datasets and robust AI safety tools.
• Communicate results to technical and non-technical stakeholders.

Skills

Java

C++

Python

Advanced ML/DL

Research & Publications

Cross-functional collaboration

Education

PhD in CS/ML/related field

MS/Equivalent with 4+ years experience

Tools

Unix/Linux

ML toolkits (TensorFlow, PyTorch)

Job description

Amazon.com Services LLC is seeking an Applied Scientist to advance customization for Amazon Nova, enabling enterprises to tailor large language models with SFT, distillation, and RL techniques.

You will collaborate across teams to build scalable tooling on SageMaker, run experiments to balance accuracy, latency, and cost, and contribute to responsible AI datasets and evaluation frameworks.