Grow Therapy
Staff Software Engineer - ML Platform
San Francisco · Staff+ · Full-time
Sponsorship not specified$217k-$288kDetected 48 days ago
TerraformPlatform EngineeringMachine LearningData ScienceAccessibilityValuationResearchLeadershipCommunicationProblem Solving
About the role
- You'll operate as a de facto technical decision-maker, partnering closely with Data Science, Product and Engineering to translate business goals into robust platform capabilities and setting the bar for what excellent ML infrastructure looks like at Grow.
- Matching a client to the right therapist is one of the most consequential moments in mental healthcare.
- We're growing fast with nearly 22,000 clinicians, over 1.4 million clients, and on track to surpass 10 million sessions in 2026, and we're still early.
Responsibilities
- Design and build large-scale, real-time ML systems with a deep understanding of platform fundamentals, including systems that must meet strict latency requirements, such as sub-second response budgets for patient-provider matching
- Implement core ML platform components with the same rigor and code quality expected of a senior backend software engineer, including algorithmic and systems-level work
- Own critical ML infrastructure components end to end: Feature Stores, Online/Offline Parity, Deployment Safety, Monitoring, Failure Modes, and Feedback Loops
- Partner closely with Data Science, Product and Engineering teams, translating business goals like match rate and provider utilization into clear platform requirements, and maintaining strong communication across the modeling/platform boundary
- Drive adoption of an AI-first development mindset, reaching for AI tooling where appropriate and ensuring the platform can efficiently serve both static and live models at scale
- Proven experience designing and building real-time ML systems at scale, with the ability to clearly articulate the tradeoffs and architectural decisions behind what you've built
- Deep expertise in ML infrastructure, including Feature Stores, real-time serving, model deployment safety, monitoring, and feedback loop design
- Natural partnership instincts; you're equally comfortable discussing business outcomes with product stakeholders and diving deep on system design with data scientists
Requirements
- Grow Therapy's matching system must be fast, accurate, and personalized, operating under strict latency constraints at a scale that only grows.
- Direct experience with real-time ranking and recommendation systems
- Experience with backend engineering fundamentals, you can write high-quality production code and engage in algorithmic problem solving
- Experience with infrastructure tooling such as Terraform and cloud-native ML serving platforms
Skills
- Importantly, no hiring decisions are made by the AI tool.
Compensation
- The base compensation range for this position is
- $217,000-$288,000 USD Annually
- The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate's working location.
Benefits
- Pet insurance discounts, commuter benefits, and global travel assistance.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
- Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
- Financial Wellness: 401(k) program and equity opportunities.
- Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
- Wellness & Development: Annual stipends to put towards personal & professional growth.
- Define the technical vision and 1-3 year roadmap for the ML platform
- Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
Company info
- At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.
Equal opportunity
- equal opportunity workplace and is an affirmative action employer.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Grow Therapy's careers page and normalized into a canonical job model.