ML Engineer Jobs

A Machine Learning Engineer builds the production systems around models: data pipelines, training infrastructure, feature stores, online serving, and monitoring. The role is more software-engineering than research: you write Python, ship Docker images, debug GPU OOMs, and own SLOs on inference latency and accuracy. ML Engineers work upstream of LLM Engineers (who specialize in language models) and downstream of Researchers (who produce the model weights). Strong candidates have shipped at least one model from notebook to production traffic at meaningful scale.

As of October 2026, AgenticCareers tracks 301 open ML Engineer positions across 140 companies. The median advertised salary is $159K–$225K per year (based on 161 listings with disclosed pay). 19% of roles are remote. The most active employers are Optum, Capital One, Adobe.

Full ML Engineer salary data