Senior/ Staff ML Engineer, Recommendations Systems

About Us:

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 $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

The Opportunity:

We are looking for a machine learning engineer who has worked in search and personalization and is scrappy and pragmatic, using data and deductive reasoning to apply practical approaches into their algorithms. They’ll work directly with our VP of Data to create a search algorithm that improves the matching experience between clients and providers, with potential to bring Machine Learning to other surfaces across the company. 

What You’Ll Be Doing:

• Design, develop, and deploy a scalable search ranking algorithm to enhance and personalize user experience on the Grow Therapy platform.
• Collaborate with data scientists to define and extract relevant features from large datasets.
• Implement machine learning models for search ranking, including training, evaluation, and optimization. 
• Develop and maintain data pipelines and infrastructure to support the continuous improvement of the search algorithm.
• A/B testing design and analysis of performance differences between existing and new model variations to ensure confidence in positive business outcome improvements.

You’ll Be a Good Fit if you have: 

• Experience building and deploying machine learning models in the context of search ranking or recommendation systems.
• 5+ years of experience as a ML engineer or Data Scientist- ideally at an early stage or high growth startup - specializing in machine learning algorithms
• Past experience building algorithms from 0->1 and an entrepreneurial mindset
• Strong programming skills in Python and SQL. 
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Proficiency in working with large datasets, data preprocessing, and feature engineering.
• Knowledge of information retrieval, natural language processing, and ranking algorithms.
• Ability to work cross functionally with growth, engineering, product, and an executive team 
• Knowledge and experience in best practices in applying MLOps in an organization with an emphasis on continuous development and deployment.
• Role Details:
• Employment Type: Full Time, Exempt
• Base Compensation: 
• Zone 1 (NYC, SF, Seattle Metro Area, with an expectation of ~3 days per week in person): $218,000 - $269,000 USD annually
• Zone 2 (All other US locations, including remote in NYC, SF, Seattle Metro Area): $207,000 - $255,000 USD annually

The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate's working location.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 11, 2025.

Please see the independent bias audit report covering our use of Covey here.

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 therapy and personal & professional growth.
• Mental & Physical Health Support: 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.

Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.

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.