Machine Learning Engineer II

Our mission: to eliminate every barrier to mental health. 

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond. 

Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like J.P. Morgan Chase & Co., Microsoft, J.B. Hunt, Bumble, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $370 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership, our current valuation has reached $2.5 billion.

We are looking for a Machine Learning Engineer to join our AI Foundations team. In this role you will build and enhance the models powering Spring Health’s precision mental health engine and develop the Spring AI platform. This is an opportunity to design and implement innovative data products that will positively impact the lives of our members as well as contribute to and move the science and practice of mental health forward. 

What you’ll be doing:

• Contribute to the development of algorithms and datasets that power a personalized member care journey and data products that enhance caregiver capabilities and outcomes.
• Develop and bring to production data-centric product features like search and personalized recommendations.
• Develop an AI Platform to support new data products across the company.
• Build GenAI products to improve both member and provider experiences.
• Monitor and continuously improve deployed models.

What success looks like in this role:

• Improve recommender system models to match members with providers
• Create new data products using GenerativeAI
• Collaborate with data science teams to bring prototype models to production
• Raise the bar for engineering excellence and delivery

What we expect from you:

• Degree in a STEM, Economics, or related quantitative field, and at least 2 years of commercial experience in a ML engineer role, or a related role such as data/backend engineer with direct experience in data science products.
• Proficient in Python and SQL, including standard modeling libraries such as Pytorch …