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Senior Machine Learning Engineer - AI-Driven Healthcare

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Build & scale ML systems in healthcare tech. Collaborate cross-functionally. Enjoy complex challenges & improve developer experience.

Key Highlights
Design ML infrastructure & AI pipelines
Collaborate with data scientists & engineers
Drive production excellence & technical standards
Key Responsibilities
Build, deploy, & scale ML-powered features
Design & maintain reusable ML infrastructure
Manage ML model lifecycle
Collaborate with data scientists & engineers
Develop internal tools & automation processes
Contribute to cloud-based ML platforms & data processing pipelines
Support model monitoring & operational best practices
Technical Skills Required
Python SQL Machine Learning Frameworks (PyTorch, TensorFlow) Cloud Infrastructure (AWS) Data Engineering Tools
Benefits & Perks
Competitive salary ($190,000 - $220,000 USD)
Fully remote work
Comprehensive medical, dental, & vision coverage
Generous paid parental leave
Nice to Have
NLP, deep learning, LLM deployment, or healthcare-related AI systems experience
Previous startup experience, open-source contributions, or technical leadership

Job Description

This role offers the opportunity to build and scale advanced machine learning systems that directly support innovation in healthcare technology and clinical intelligence. You will contribute to the design of robust ML infrastructure, production-grade AI pipelines, and scalable model deployment systems used across multiple products. Working within a collaborative and highly technical environment, you will partner closely with data scientists, software engineers, and platform teams to deliver impactful machine learning solutions. The position is ideal for engineers who enjoy solving complex technical challenges while improving developer experience and operational reliability. You will play a key role in shaping reusable ML architecture, accelerating experimentation, and driving production excellence across the organization. This fully remote opportunity combines meaningful impact, technical ownership, and the ability to influence the future of AI-driven healthcare systems.
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