Machine Learning and AI Developer

We made history and now we work to transform the future for our customers our communities and our families. Youll 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.

Fords Electric Vehicles Digital and Design (EVDD) team is charged with delivering the companys 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. Youll 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 Fords AI engineering capability overseeing vendor fine-tuning operations designing Fords internal orchestration layer and driving measurable improvements in AI engine performance across dealer service manufacturing and validation workflows.

What youll do..

• SupportFords AI and ML engineering capability within the TOP platform including model fine-tuning oversight agentic orchestration architecture and LLM evaluation
• Oversee vendor fine-tuning of Google Cloud Vertex AI using Ford proprietary diagnostic data ensuring compliance with Fords IP protection requirements and model weight storage architecture
• Design and build Fords Orchestration Layer. The integration framework that connects external AI engine with other Ford internal AI engines and TOP platform services
• Evaluate AI engine outputs against defined accuracy latency and first-time fix rate metrics; drive iterative improvement through structured feedback loops
• Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations ensuring clinical accuracy before dealer-facing deployment
• Build internal Ford tooling for model monitoring drift detection and retraining triggers within Fords GCP environment
• Collaborate with Fords data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
• Partner with theFordGCP Cloud Engineersto ensure model artifact storage versioning and access controlscomply withFords IP and security policies
• Contribute to the long-term insourcing roadmap by documenting model architectures training pipelines and prompt frameworks in sufficient detail to enable internal replication
• Represent AI and ML engineering in architecture reviewsandvendor technical discussions.

Youll have...

• 5years of professional experience in machine learning engineering AI systems development or applied AI research
• 3yearsHands-on experience fine-tuning LLMs in a cloud environment with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
• 2 years ofexperiencebuildingagentic AI systems using frameworkssuch asLangChainLangGraph Google Agent Builder or equivalent orchestration tooling
• 4years ofProficiencyin Python and ML developmenttooling including Hugging FacePyTorchor TensorFlow andMLflowor Vertex AI Experiments
• 3 yearsof experience designing and evaluating LLM outputs for production systems including prompt engineering retrieval-augmented generation (RAG) architectures and model evaluation metrics
• 5years ofStrong understandingofMLOpspractices including modelversioning deployment pipelines monitoring and retraining workflows on GCP
• 4yearsExperienceworking in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
• Strong written and verbal communication skills; ability to translate technical AI concepts for non-technical executive stakeholders

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all of the above No matter what you choose we offer a work life that works for you including:
Immediate medical dental vision and prescription drug coverage
Flexible family care days paid parental leave new parent ramp-up programs subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement fertility treatments and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays including the week between Christmas and New Years Day
Paid time off and the option to purchase additional vacation time.

This position is a salary grade 6-8 and ranges from $85400- 192900.
Final determination of salary grade will be based on candidates skills and experience and base salary will be set within the applicable range according to job scope responsibility and competitive market value.

For more information on salary and benefits click here: sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regar d to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location will be required to be onsite four or more days per week.

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