Senior/Lead Machine Learning Engineer
A senior or lead machine learning engineer is expected to own ML pipelines end to end, from data and model work through evaluation and production rollout. A strong candidate brings solid experience building and shipping ML systems, good judgment about experiments, and care for accuracy, cost and reliability. At a company turning desktop activity into process maps and AI agents, that means making models that read messy real world work and hold up in production.
How it fits the AI era
This role sits close to the AI shift, since the product uses models to understand work and act on it. Much of the craft is now about evaluation, LLM judges and turning promising experiments into dependable systems. What stays human is judgment about what good looks like, which tradeoffs matter, and how to keep results trustworthy.
How it builds AI experience
The work offers hands on practice with LLM evaluation, judge design and experiment driven improvement of production pipelines. Building that experience means running careful comparisons, writing clear evals, and learning where models fail on real activity data. Experience with cost and latency tradeoffs in deployed ML systems helps.
Worth showing
- End to end ML ownership
- LLM evaluation and judges
- Accuracy and cost tradeoffs
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Mimica
Mimica turns employee desktop activity into process maps and AI agents that execute the work, per the company.
#J-18808-Ljbffr