Machine Learning Engineer
Mercedes-Benz
| Company | Mercedes-Benz |
| Category | Engineering |
| Location | Madison |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 72k–108k |
| Posted | 21 Jul 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
This part-time Machine Learning Engineer role at Mercedes-Benz suits the engineer who reads the changelog before upgrading and the docs before asking. Join Mercedes-Benz as a part-time Machine Learning Engineer and take real ownership of R work while earning $72,000 - $108,000 and growing your craft.
Key Responsibilities
• Ship BigQuery experiments fast, kill the losers, and double down on what sticks
• Pair with cross-functional partners to scope and deliver part-time projects
• Chase down the BigQuery integration that silently drops Mercedes-Benz events at midnight
• Optimize application performance, latency, and resource utilization at scale
• Troubleshoot and resolve production incidents across Prompt Engineering-based applications
• Pull BigQuery telemetry into dashboards Mercedes-Benz leaders actually open
What You'll Bring
• Values-led problem-solving that doesn't wait for permission
• Cross-functional ease, from Presentation Skills engineers to Prompt Engineering marketers
• Demonstrated calm when a Madison, WI client changes scope mid-stream
• Comfort owning the unglamorous middle of a part-time project
• Comfort steering technology conversations toward a decision
Mercedes-Benz writes the software that keeps technology operations humming, all of it engineered in Madison, WI by a quietly-relentless bunch. Trust is the default setting at Mercedes-Benz; you have to actively spend it to lose it.
Start at $72,000 - $108,000 and watch the benefits, growth budget, and flexible scheduling do the heavy lifting on your work-life balance.
This role is being actively staffed, with offers expected before the quarter closes.
Qualified candidates are encouraged to apply as soon as possible.