ML Engineer
Build useful intelligence with evidence behind it.
The mission
Develop machine learning capabilities grounded in real product needs, data quality and measurable performance.
What you’ll do
- Frame problems, establish baselines and design reproducible evaluations.
- Build and maintain data and model pipelines with appropriate access boundaries.
- Work with engineering to monitor quality, cost and model behavior.
What helps
- Practical machine learning and Python experience.
- An understanding of evaluation, data leakage and production reliability.
- The ability to explain uncertainty and the limits of a model.
Introduce yourself
Along with your CV or profile, tell us about a model or evaluation project, including its baseline, limitations and deployment lessons.
Level and compensation are discussed during the hiring conversation. Ask about anything that matters to you before you make a commitment.