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Machine Learning Engineer

Mercedes-Benz
CompanyMercedes-Benz
CategoryEngineering
LocationMadison
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryUSD 72k–108k
Posted21 Jul 2026
Last verified12 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's 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.