Senior ML Platform Engineer – GenAI & MLOps

Spring Care, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, Dental, Vision benefits

401(k) match

Parental leave

Professional development reimbursement

Job summary

Spring Health is hiring a Senior Machine Learning Engineer to help build and scale a centralized AI platform powering care capabilities. You will collaborate across teams to deploy GenAI features, ensure uptime of AI/ML tooling, and guide platform adoption with a focus on DX.

The role is hybrid in San Francisco, with travel occasional for team on-sites, and requires 4–6 years of Python/MLE experience. The position emphasizes mentoring, architectural leadership, and strong collaboration with

Qualifications

• Degree in Computer Science, Data Science, or a related field with a focus on Artificial Intelligence and Machine Learning.
• 4-6 years of Python development experience with GenAI and ML libraries and frameworks (such as LangChain, Pydantic, Scikit-Learn, and more).
• Experience maintaining and configuring engineering tools (third-party and in-house built), including deployment within a Kubernetes stack.
• Experience driving the adoption of generalized platforms with a continuous focus on improving internal Developer Experience (DX).
• Demonstrated ability to architect solutions for a full project as a lead prior to implementing a new feature, software, or tool in an enterprise environment while keeping project and organization constraints in mind.
• Demonstrated ability to mentor junior engineers and communicate complex technical ideas effectively to both technical and non-technical audiences to create buy-in and alignment.

Responsibilities

• Collaborate to build and scale our AI platform, tooling, and best practices, enabling the rapid deployment of GenAI capabilities across the organization.
• Monitor and maintain the uptime of critical AI and ML tools to ensure high availability for key platform features.
• Contribute to backlog prioritization by identifying high-impact engineering opportunities that drive internal adoption of our centralized AI platform.
• Act as a technical advocate for the team by participating in on-call rotations, hosting internal office hours, and contributing to cross-functional AI working groups.
• Lead refactoring initiatives for key platform services to establish and enforce centralized coding standards for engineering contributors.
• Partner with machine learning teams to consult on and periodically modernize MLOps best practices.
• Drive cross-team collaboration to accelerate the adoption of AI and ML platform offerings, serving as a technical partner and consultant to feature teams.
• Troubleshoot and debug cloud (AWS and Azure) and Kubernetes (K8s) infrastructure issues to ensure the reliability and availability of platform services.
• Identify and recommend process optimizations to help the team effectively balance feature development, operational support, and internal consultations.

Skills

Python development

GenAI libraries

Mentoring engineers

DX improvements

Education

Degree in CS/Data Science or related field

Tools

Kubernetes

AWS & Azure

Deployment tooling

Job description

Spring Health is hiring a Senior Machine Learning Engineer to help build and scale a centralized AI platform powering care capabilities. You will collaborate across teams to deploy GenAI features, ensure uptime of AI/ML tooling, and guide platform adoption with a focus on DX.

The role is hybrid in San Francisco, with travel occasional for team on-sites, and requires 4–6 years of Python/MLE experience. The position emphasizes mentoring, architectural leadership, and strong collaboration with