Spring Health
Senior Machine Learning Engineer I, AI & ML Platform
$183K–$205K
San Francisco, CA (Hybrid) · Hybrid · Senior · Full-time · Posted Nov 4, 2026
- Experience
- 4–6 years of Python development experience; 1–2 years of Ruby on Rails experience is preferred.
- Education
- Degree in Computer Science, Data Science, or a related field with a focus on Artificial Intelligence and Machine Learning.
About the job
Build and scale Spring Health’s centralized AI and ML platform, improving the reliability, adoption, and deployment speed of GenAI capabilities across the organization.
What you'll do
- Develop and maintain AI platform services, tooling, and best practices; improve service availability and reliability.
- Partner with engineering and ML teams on platform adoption, MLOps practices, refactoring, and technical support.
- Participate in on-call rotations, troubleshoot cloud and Kubernetes infrastructure, and support cross-functional teams.
What they ask for
- Degree in Computer Science, Data Science, or a related field focused on Artificial Intelligence and Machine Learning.
- 4–6 years of Python development experience with GenAI and ML libraries or frameworks.
- Experience maintaining and configuring engineering tools, including deployment within a Kubernetes stack.
- Experience driving generalized platform adoption and architecting full-project solutions in an enterprise environment.
Nice to have
- Experience with MLOps and machine learning model deployment; DevOps-style operations or cloud and Kubernetes troubleshooting.
- 1–2 years of Ruby on Rails experience.
Pay
$183K – $205K USD base salary
Tools
Python, LangChain, Pydantic, Scikit-Learn, Kubernetes, AWS, Azure, Ruby on Rails
AI focus
Build and scale a centralized AI platform that enables GenAI deployment across the organization; support AI and ML tooling, adoption, and MLOps practices.
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