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About the Role

Grow Therapy is seeking a Staff ML Platform Engineer to drive the technical vision and execution of their Machine Learning Platform. This role involves designing, building, and scaling real-time ML systems for core product experiences, starting with patient-provider matching, and defining the architecture for future growth. The engineer will act as a technical decision-maker, collaborating with Data Science, Product, and Engineering to translate business goals into robust platform capabilities and set standards for ML infrastructure.

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
Define the technical vision and 1–3 year roadmap for the ML platform
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

Requirements

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
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
A demonstrated track record of technical leadership with broad organizational scope; for example you've influenced architecture decisions and raised the bar across teams, not just within one
Natural partnership instincts; you're equally comfortable discussing business outcomes with product stakeholders and diving deep on system design with data scientists
Experience using AI-assisted development tools and an openness to AI-first ways of working
A bias toward ownership, rigor, and continuous improvement

Skills

ML Platform Engineering
Real-time ML systems
Machine Learning Infrastructure
Feature Stores
Real-time serving
Model deployment safety
Monitoring
Feedback loop design
Backend engineering
Algorithmic problem solving
Terraform
Cloud-native ML serving platforms
Technical leadership
AI-assisted development tools

Location

San Francisco
Seattle
New York

Work Type

Hybrid
Full-Time

Experience Level

Staff

Salary/Compensations

$217,000–$288,000 USD Annually

Benefits

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.
Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
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.
Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.

About the Company

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care.
Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients.
Following the mass increase in depression and anxiety, the need for accessibility is more important than ever.
To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters.
Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape.
We’ve raised more than $328Mm in funding, including our Series D, at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others.

Equal Opportunity

Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer.
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.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.