Ford
Auto · Automaker
- HQ
- Dearborn, US
- Founded
- 1903
- Size
- 180,000+
- Website
- ford.com
Ford currently has 28 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with application roles making up another 21%. Engineering is the most frequent function hiring for these positions. Recent hiring trends show a decrease, with 23 new AI roles posted in the last 30 days, a 42% reduction compared to the preceding 30-day period.
Currently tracking 18 active AI roles, with 460 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$268k (avg $158k).
Ford currently has 28 active AI-related roles in our index. The most common open titles are: Full Stack Software Engineer - AI Applications (2), AI Platform Administrator, Autonomous Robotics Launch Manager, Chief Engineer, AI Product Creation, DAT In-House Perception Algorithm Engineer. Most positions are in Engineering and Product.
Ford's active AI hiring is concentrated in: agents (57%), application (18%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Ford is hiring AI talent in: United States (28 roles).
Job postings at Ford most frequently mention: Statistics, Python, Predictive Modeling, Machine Learning, GCP.
In the past 30 days, Ford has posted 22 new AI-related roles. That is a -41% change versus the prior 30 days (37 → 22).
| Title | Stage | AI score |
|---|---|---|
| Thermal Systems Engineer Research Engineer focused on pioneering next-generation thermal system components and architectures for both traditional ICE and electrified vehicles. The role involves leading technology programs, applying systems engineering methodologies, and collaborating with cross-functional teams and universities to drive innovation in thermal management and vehicle energy performance. | — | 0 |
| Research Engineer Research Engineer role at Ford focused on developing and scaling new polymer technologies for battery cell manufacturing, including electrode processing, to improve performance, cost, and quality for electric vehicles. Requires lab skills, materials background, and knowledge of battery electrochemistry and polymer science. | — | 0 |
| Battery Management/Modeling Research Engineer Research Engineer focused on developing advanced battery plant models for electric vehicles, involving physics-based modeling, data processing, and technology transfer to product teams. | — |
| 0 |
| Research Engineer Research Engineer role focused on battery materials research, including synthesis, characterization, fabrication, and testing. The role involves using optical, spectroscopic, and electrochemical methods to understand physical and chemical processes, developing in-operando and in-situ characterization tools, and applying laser ablation for electrode structuring. Collaboration with universities and national labs is expected. | — | 0 |