Senior/Staff ML Engineer, Recommendations Systems

Job not on LinkedIn

October 4

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $207k - $269k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Grow Therapy

WebsiteLinkedInAll Job Openings

Marketplace • Wellness

Grow Therapy is a technology-enabled mental healthcare platform that connects clients with licensed therapists and prescribers for therapy and medication management. The service lets users search by state, city, insurance, and needs, book virtual or in-person appointments, and often enables lower out-of-pocket costs by handling insurance billing. Grow vets providers, offers resources (quizzes, guidance), and partners with employers and payors to expand access to affordable, personalized mental health care.

201 - 500 employees

Founded 2020

🏪 Marketplace

🧘 Wellness

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.