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Machine Learning and AI Developer

Ford Motor Company

Hybrid (Dearborn, MI) Senior Level $85k - $192k/yr
Posted 1 week ago

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Prescription drug coverage
  • Flexible family care days
  • Paid parental leave
  • New parent ramp-up programs
  • Subsidized back-up child care
  • Adoption expense reimbursement
  • Surrogacy expense reimbursement
  • Fertility treatments
  • Tuition assistance
  • Employee resource groups
  • Paid time off
  • Paid holidays

Perks

  • Vehicle discount program
  • Hybrid work

Skills

Machine learning engineering AI systems development LLM fine-tuning Python Google Cloud Vertex AI LangChain LangGraph Hugging Face PyTorch TensorFlow MLflow Prompt engineering Retrieval-augmented generation MLOps Data governance Communication skills

About the Role

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.


Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You’ll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this role...

Ford Motor Company is seeking Machine Learning and AI Developers to join the Connected Vehicle Division in support of the Telemetry and Observability Platform (TOP). In this role, you will be at the center of Ford's AI engineering capability, overseeing vendor fine-tuning operations, designing Ford's internal orchestration layer, and driving measurable improvements in AI engine performance across dealer service, manufacturing, and validation workflows. 

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