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Machine Learning Engineer - Health AIML

Cupertino, United States of America💼 Full-time🗓 2026-09-09 → 2026-09-28

Core

Design, implement, tune, and evaluate machine learning models and systems, including state-of-the-art generative AI technologies, to solve real-world problems in the health domain.

Role type

Senior IC machine learning engineer (health & generative AI)

Builds

Production ML models and systems for consumer health products

Domain

Healthcare + Generative AI + Deep Learning

Deliverable

production ML models

Required skills

Software engineering, machine learning, deep learning, generative AI, cross-functional collaboration, leading teams

Preferred skills

Generative models, NLP, LLMs, agentic systems (prompt tuning, RAG, multi-agent), healthcare data workflows, TensorFlow, PyTorch, Jax, Huggingface

Technologies

TensorFlow, PyTorch, Jax, Huggingface

Responsibilities

Design and implement ML models and systems, tune and evaluate models, apply engineering best practices and novel research techniques, collaborate cross-functionally to deliver customer-facing features

Seniority

Senior, hands-on IC with leadership experience

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