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As a Machine Learning Engineer at Ford, you will own features end to end, from architecture through deployment and monitoring. Earn $113,000 - $172,000, own outcomes, and grow your technology career with a team that values 6 years of real experience.
Key Responsibilities
- Negotiate Clustering tradeoffs with product when Ford timelines and reality collide
- Track and report on key performance metrics for technology services
- Own a technology service end to end, from Problem Solving schema to on-call rotation
- Build Databricks self-service tools so Lakewood teams stop filing tickets for everything
- Refine and maintain microservices that support Ford customers in Lakewood, CO
What You'll Bring
- A learner's pace that keeps up with shifting requirements
- A point of view on Ford's space, sharpened by your own reading
- 7+ years of Databricks reps, not just Databricks exposure
- Demonstrated ability to manage competing priorities under tight deadlines
- Hands-on familiarity with Time Management, sharpened by Regression Analysis side projects
- The self-awareness to know which problems are yours to solve
What sets Ford apart isn't size but a tinker-friendly Lakewood culture that refuses to ship Problem Solving it wouldn't trust itself. Our values show up in small daily choices, not just a poster on the wall.
Expect $113,000 - $172,000, yes, but also expect the kind of benefits and remote flexibility that make Mondays in Lakewood feel lighter.
Marked current today, the temporary opportunity at Ford is accepting candidates.
We can't hire the resume you didn't send, so send it and let's start in Lakewood.