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 were building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021 weve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. Weve 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. Theyll 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 Youll 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.

Youll 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: $218000 - $269000 USD annually
  • Fully Remote Commitment: $207000 - $255000 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 23 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 candidates 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-costaccess 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 youre excited about this role but dont 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 toolGem to assist in theinitial 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 Gems approach to compliance withCalifornia FEHA regulations on automated decision systemsandNew York Local Law 144can 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 . 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.