Senior/ Staff ML Engineer, Recommendations Systems

Reposted 11 Days Ago
2 Locations
Remote or Hybrid
207K-269K Annually
Senior level
Healthtech • Social Impact • Software
At Grow Therapy, we’re rethinking access to mental health care by rebuilding the systems behind it.
The Role
Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.
Summary Generated by Built In

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: The base compensation range for this position is
    • Hybrid Commitment: $218,000 - $269,000 USD annually
    • Fully Remote Commitment: $207,000 - $255,000 USD annually
      This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites).

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

Full Time Employee 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.

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. 

Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool, Gem, to assist in the initial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with California FEHA regulations on automated decision systems and New York Local Law 144 can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at [email protected]. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.

Top Skills

Python
PyTorch
Scikit-Learn
SQL
TensorFlow

What the Team is Saying

Sami
Sasha
Caroline
Lydia
Chris
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The Company
HQ: New York, NY
460 Employees
Year Founded: 2020

What We Do

We see technology not as a layer on top of care, but as the connective tissue that helps it grow.

Grow Therapy is an online therapy platform that helps you find a therapist who gets you—and takes your insurance. Grow was founded to create end-to-end systems that make therapy easier on both sides: helping therapists launch and grow thriving private practices by removing the friction of credentialing, billing, and insurance, so they can focus on care, and helping clients actually find and afford it.

Our founders come from Harvard Medical School, Stripe, and Blackstone, and bring Grow’s mission to life from the inside out, pairing bold vision with a culture of balance, belonging, and whole-person wellness.

We believe change starts by empowering therapists. Grow’s smart platform helps independent providers build sustainable practices by handling credentialing, billing, and referrals, so they can focus on what matters. With business tools, a supportive clinical community, and opportunities like CE events and speaking engagements, Grow helps therapists practice with more autonomy and less administrative strain, reducing no-shows, increasing demand, and creating more space for care.

We then help people find those licensed therapists who reflect their lived experience, whether that means shared racial or cultural background, language, identity, or life stage. Our platform makes it easy to search by specialty, availability, and insurance so clients can book care that fits their life and budget.

Today, Grow supports thousands of therapists and prescribers across all 50 states and has delivered care to over 1 million clients. We’re in-network with 100+ major insurers, including Aetna, Cigna, Medicare, Medicaid, and UnitedHealthcare, and have raised more than $178M from leading investors like Sequoia Capital, Goldman Sachs Alternatives, TCV, Transformation Capital, SignalFire, and Plus Capital.

We believe in benefits that support the whole you. That means two hours each week to care for your mental health, a $600 annual therapy stipend, $500 learning and $300 wellness stipends, a $1,000 remote office setup, free in-office meals, and flexible PTO with a paid December recharge week.

We’re building the future of mental healthcare and that starts with how we care for our own team. If you’re excited by bold challenges and meaningful impact, Grow with us.

Why Work With Us

At Grow Therapy, we believe well-being isn’t just a perk—it’s part of how we work. From clinicians to engineers, designers and support, every voice helps shape the care we build. Our mission-driven team is rethinking mental health care, supported by flexible PTO, paid winter recharge, mental health breaks, therapy stipends, and wellness perks.

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Grow Therapy Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We value hybrid and remote work with offices located in New York City, Seattle, and San Francisco.

Typical time on-site: 3 days a week
HQNew York, NY
San Francisco - Coming Soon!
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