Senior Machine Learning Engineer

You have 5+ years of experience in applied ML roles, with at least 3 years of meaningful hands-on modeling work in ranking, relevance, recommendations, search, or personalization.

You are fluent in Python and experienced with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or CatBoost.

You have taken ML models from prototype to production and understand what it takes to make them reliable, maintainable, and performant at scale.

You are comfortable designing and running A/B experiments, selecting appropriate metrics, and interpreting results with rigor.

You bring product intuition alongside technical depth — you care about making the patient experience meaningfully better, not just improving an offline metric.

You work well in collaborative, cross-functional environments and can communicate technical tradeoffs clearly to non-ML stakeholders.

The expected base pay range for this position is $218,500 - $273,125, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include:

Equity compensation

Medical, Dental, and Vision coverage

HSA / FSA

We are looking for a

Senior Machine Learning Engineer

to be a core contributor to Headway's ranking and relevance systems. You will design, build, and ship ML models that determine how patients discover and connect with therapists — using search, recommendation, and personalization techniques to improve matching quality across the care journey.

In this role, you will work with significant autonomy on scoped problem areas, contribute to technical direction, and collaborate closely with product, engineering, and data science to drive measurable outcomes for patients and providers.

At Headway, one of our most important challenges is ensuring that patients find the right therapist quickly and effectively. We are investing deeply in search, ranking, and relevance systems powered by machine learning. As a Senior Machine Learning Engineer, you will focus on:

The Ranking & Relevance team’s mission is to help every patient find the right provider for their needs. We are building the matching system that powers this connection, from search and discovery to ranking and personalization. Our goal is to combine cutting-edge machine learning with a deep understanding of patient and provider experience.