Amazon

Applied Scientist II, HST Health Foundation, HST Health Foundation

Posted On

Nov. 26, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Machine Learning Science

Apply By

Jan. 27, 2026

Job Description

Amazon Health Services (One Medical)

About Us:
At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care.

Role Overview:
We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery.

Key job responsibilities
- Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical
- Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs)
- Optimize and fine-tune models for production deployment, including model distillation for improved latency
- Drive scientific innovation while maintaining a strong focus on practical business outcomes
- Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits
- Contribute to the broader Amazon Health scientific community and help shape our technical roadmap- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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