Job Details

Join us as a Machine Learning Engineer II on the AI and ML Infrastructure team at Spring Health. You'll build the foundational LLM infrastructure and tools that empower product teams to deliver features faster, safer, and more reliably.

Overview

Spring Health's mission is to eliminate every barrier to mental health. Our clinically validated technology, Precision Mental Healthcare, delivers therapy, coaching, medication, and beyond—tailored to each individual's needs. As a hybrid role based in San Francisco, you'll be in the office 2–3 days a week at 2 Embarcadero Ctr.

What You'll Do

• Build Foundational LLM Tooling: Design, build, and maintain core LLM infrastructure components, operationalize observability tools, and create reusable libraries that accelerate feature teams.
• Develop Advanced AI Capabilities: Deploy pipelines for a vector database to enable Retrieval‑Augmented Generation (RAG) across multiple product teams.
• Pioneer Future‑State Infrastructure: Contribute proofs‑of‑concept and architecture for future innovations.
• Ensure Platform Excellence & Scalability: Add logging, monitoring, and alerting to platform services for stability, performance, and cost‑efficiency.
• Partner with Feature Teams: Act as a consultant to unlock AI roadmaps and enable cross‑functional collaboration.

What Success Looks Like

• Platform Adoption & Developer Enablement: Accelerate onboarding, boost developer satisfaction, and drive quarterly adoption.
• Operational Excellence & Reliability: Meet SLOs for uptime and latency, and reduce MTTR.
• Automation & Quality: Improve test coverage and documentation to lower support queries.
• Roadmap Delivery & Project Execution: Deliver roadmap items on schedule with high‑quality, maintainable code.
• Team & Cross‑Functional Collaboration: Earn positive feedback, mentor, and share knowledge.

What You'll Bring

• Proven Experience: Hands‑on production‑grade software, significant LLM or Generative AI engineering experience.
• A Platform Builder's Mindset: Build internal tools, libraries, or platforms with clear documentation and API design.
• Technical Proficiency: Strong Python, modern AI/ML stack, cloud services (AWS, GCP, or Azure), and CI/CD pipelines.
• LLM & Generative AI Expertise: Build or work with key components of the modern LLM stack, orchestration frameworks, observability tools, and RAG infrastructure.
• Pragmatic Problem‑Solving: Operate at feature scope, break down solutions, and proactively mitigate risks.
• Resilience and Drive: Grit, ownership, and resourcefulness in a fast‑paced, high‑growth environment.
• Education: Bachelor's degree in a technical field or equivalent practical experience.
• Security and Privacy Awareness: Deep understanding of handling sensitive data.

Benefits

• Health, Dental, Vision benefits start on day one.
• 401(k) match up to 2%.
• No‑cost visits to Spring Health network of therapists and coaches.
• Paid time off, vacation, sick leave, and company holidays.
• Parental leave: 18 weeks birthing parents, 16 weeks non‑birthing parents.
• Professional development reimbursement up to $1,000 per year.

Target Salary

$120,000 – $165,275. Individual pay may vary by experience, location, and internal equity.

Equal Opportunity Employer

Spring Health is an equal opportunity employer and complies with applicable laws. We consider qualified applicants regardless of disability, criminal history, or other legally protected characteristic.