Machine Learning Engineer II

Spring Health
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Job Description

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 and Scikit-Learn.
  • Experience building data pipelines for models and analytics (eg. Airflow, Prefect, or similar).
  • Experience with deploying and managing model endpoints (eg. Sagemaker, Vertex AI, or similar).
  • Proficiency with GenAI workflows (eg. RAG, prompt-engineering).

The target base salary range for this position is $120,000 - $150,250, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.

Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!

Company Info.

Spring Health

At Spring Health, we help employers modernize their behavioral health benefits with the most effective, comprehensive solution for employee mental wellbeing. Our offering functions as a single front door to any type of care - from digital exercises, to EAP services, to coaching, therapy, or medication.

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Spring Health is currently hiring Machine Learning Engineer Jobs in New York, NY, USA with average base salary of $120,000 - $150,250 / Year.

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