Spring Health-posted 3 months ago
$120,000 - $165,275/Yr
Full-time • Mid Level
Hybrid • San Francisco Bay Area, CA
1,001-5,000 employees
Ambulatory Health Care Services

As a Machine Learning Engineer on our AI and ML Infrastructure team, you'll be a key player in our mission to accelerate improvements that remove barriers to mental health. Your role is to build the foundational LLM infrastructure, tools, and automated systems that empower all of our product teams to deliver features faster, safer, and more reliably. This is a hands-on role where you will build the 'paved road' for AI development at Spring Health. You will tackle complex technical challenges by turning clear solutions into well-defined technical plans for LLM Ops and shared LLM components. You will not only build for today's needs but also lay the groundwork for future capabilities. Please note that this is a hybrid role based in San Francisco, with an expectation to be in office 2-3 days a week. Our office is located at 2 Embarcadero Ctr.

  • Build Foundational LLM Tooling: Design, build, and maintain the core components of our LLM infrastructure.
  • Develop Advanced AI Capabilities: Build the platform to support sophisticated LLM use cases.
  • Pioneer Future-State Infrastructure: Contribute to proofs-of-concept and the architectural groundwork for future innovations.
  • Ensure Platform Excellence & Scalability: Consistently add logging, monitoring, and alerting to the platform services you build.
  • Partner with Feature Teams: Work closely with engineers across the organization to understand their needs and challenges.
  • Proven Experience: Demonstrated experience building and delivering production-grade software, with significant, hands-on experience in LLM or Generative AI engineering.
  • A Platform Builder's Mindset: Experience building internal tools, libraries, or platforms and understanding the importance of clear documentation and API design.
  • Technical Proficiency: Strong proficiency in Python and familiarity with the modern AI/ML stack, including cloud services (AWS, GCP, or Azure) and CI/CD pipelines.
  • LLM & Generative AI Expertise: Hands-on experience building or working with key components of the modern LLM stack.
  • Pragmatic Problem-Solving: Ability to operate at a feature scope, breaking down clearly defined solutions into smaller, manageable tasks.
  • Resilience and Drive: A high degree of grit and comfort with the ambiguity that comes with a fast-paced, high-growth environment.
  • Education: A Bachelor's degree in a technical field or equivalent practical experience.
  • Security and Privacy Awareness: A deep understanding of the importance of handling sensitive data.
  • Health, Dental, Vision benefits start on your first day at Spring.
  • Employer sponsored 401(k) match of up to 2% for retirement planning.
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers.
  • Competitive paid time off policies including vacation, sick leave and company holidays.
  • Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents after 6 months tenure.
  • Access to Noom, a weight management program-based in psychology.
  • Access to fertility care support through Carrot, with $4,000 reimbursement for related fertility expenses.
  • Access to Wellhub for fitness, mindfulness, nutrition, and sleep.
  • Access to BrightHorizons for sponsored child care, back-up care, and elder care.
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.
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