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Spring Health

Senior Machine Learning Engineer I, AI & ML Platform

Spring Health · San Francisco, CA (Hybrid)

Posted about a month ago · $183,000 - $205,500

or apply directly on Spring Health's site. We never take the application ourselves.

Is this posting real?

This role has been open
44 days
Spring Health's roles stay open a median of 52 days
Reposted
No
Salary listed
Yes
90% of Spring Health's roles list one
Ghost-job risk at Spring Health
high
49 stale, 3 reposted of 79 open
Hiring momentum
116 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from Spring Health's own greenhouse board since 2026-08-03. Full hiring picture for Spring Health.

About this role

As a Senior Machine Learning Engineer at Spring Health, you will collaborate to build and scale the AI platform that supports various mental health services. Your responsibilities include maintaining critical AI tools, driving the adoption of platform offerings, and consulting on MLOps best practices. You will also lead initiatives to improve coding standards and optimize processes within the team.

Our read on this posting3.6out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Spring Health as an employer.

What you need

  • 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
  • Experience maintaining and configuring engineering tools, including deployment within a Kubernetes stack
  • 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
  • Demonstrated ability to mentor junior engineers and communicate complex technical ideas effectively

Nice to have

  • Experience with MLOps and best practices for creating and deploying machine learning models
  • Background in a DevOps-style operational environment, including on-call rotations and cloud infrastructure management
  • Experience debugging and resolving issues within cloud environments and Kubernetes clusters
  • 1-2 years of Ruby on Rails experience

What you get

  • Health, Dental, Vision benefits starting on the first day
  • Employer sponsored 401(k) match of up to 2%
  • 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, fertility care support through Carrot, Wellhub, and BrightHorizons

Worth weighing

  • Hybrid role requiring 2-3 days in the office in San Francisco
  • Occasional travel required for team on-sites
  • No specific mention of a formal career development path or mentorship program beyond general mentoring

Summarised from Spring Health's posting. Read the full original.

Listed by Spring Health on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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