Senior Applied Scientist, Medical Imaging AGI Customization

Amazon Science; Sunnyvale (CA); On-site; USD 192,200 - 260,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science’s AGI Customization Team seeks an experienced Applied Scientist in medical imaging to advance customization of foundation models, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.

You will help design enterprise-ready tooling on SageMaker, run experiments to optimize accuracy, latency, and cost, and contribute to responsible AI datasets and model alignment for real-world applications in Sunnyvale, CA.

Qualifications

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

Responsibilities

• Contribute to the development of novel customization techniques in medical imaging, including extended post-training, continued pre-training, and advanced knowledge distillation.
• Collaborate with cross-functional teams to design enterprise-ready tooling for training techniques on SageMaker.
• Design and execute experiments to optimize model accuracy, latency, and cost across customization approaches (SFT, DPO, PPO).
• Develop and enhance training curricula for customer-specific applications.
• Create robust evaluation frameworks for model performance across domains and use cases.
• Contribute to Responsible AI toolkit and dataset creation for model alignment.
• Design and implement secure access for early model checkpoints and weights.
• Communicate technical insights to stakeholders through presentations/documentation.

Skills

ML model development

Programming (Java/C++/Python)

Deep learning

Education

PhD or MSc with 6+ years of applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon Science’s AGI Customization Team seeks an experienced Applied Scientist in medical imaging to advance customization of foundation models, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.

You will help design enterprise-ready tooling on SageMaker, run experiments to optimize accuracy, latency, and cost, and contribute to responsible AI datasets and model alignment for real-world applications in Sunnyvale, CA.