Role overview
We are seeking a Staff Machine Learning Engineer to help establish and lead our Machine Learning Engineering function. This role will be instrumental in shaping the future of our ML and LLM capabilities, driving innovation across traditional ML pipelines, AI/LLM applications, and ensuring fairness, scalability, and cost-efficiency in our systems.
You'll work directly with the Director of Data, AI, and ML and partner closely with engineering and product leadership to grow and mentor a team of Machine Learning Engineers. Your impact will shape both the technical direction of our ML systems and the culture of our growing team.
What you'll work on
- Architect and lead the development of scalable ML infrastructure for training, inference, and model lifecycle management.
- Design and implement systems for ML experiment tracking, model registry, and feature store integration.
- Establish frameworks for bias and fairness assessment across ML models and ensure compliance with internal and external standards.
- Develop infrastructure and tooling for real-time and batch model inference.
- Collaborate with data scientists, engineers, and product teams to translate business needs into new ML solutions.
- Support Software Engineering teams in their development of LLM products by establishing and managing shared LLM infrastructure for governance, observability, and cost management.
- Mentor and guide a team of ML engineers, fostering a culture of innovation, transparency, and technical excellence.
What we're looking for
- Experience in a startup environment
- Bachelor's Degree in Computer Science or similar degree
- Experience with boosted models like XGBoost
- Experience with LLM Voice agents
- Familiarity with Healthcare data
Equal Opportunity Employer
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