Machine Learning and AI Developer at Ford Global

Department: PD Operations and QualityEducation: Bachelor's Degree or equivalent

Compensation

$85,400 – $192,900/yr

Setup: Hybrid
Location: Dearborn, Michigan
Type: Full-time
Level: senior
Posted: May 1, 2026

Description

Ford Motor Company is hiring a Machine Learning and AI Developer for its Connected Vehicle Division to support the Telemetry and Observability Platform. The role oversees vendor fine-tuning of Google Cloud Vertex AI, designs an internal orchestration layer, evaluates AI engine outputs, builds monitoring and retraining tooling, and contributes to model insourcing. It requires a bachelor’s degree or equivalent experience, at least five years of machine learning or applied AI experience, and extensive experience with LLM fine-tuning, agentic systems, Python, MLOps, and regulated environments. The position is hybrid, requires onsite work at a Ford hub four or more days per week, and offers a base salary of $85,400 to $192,900.

Required Skills

Model fine-tuning
Vertex AI
Agentic orchestration
Python
MLOps
Prompt engineering
RAG architectures

Additional Information

Minimum Education: Bachelor’s degree in computer science, computer engineering, or a combination of education and equivalent work experience
Required Previous Experiences: 5+ years of professional experience in machine learning engineering, AI systems development, or applied AI research
3+ years of hands-on experience fine-tuning LLMs in a cloud environment, preferably with Google Cloud Vertex AI
2+ years of experience building agentic AI systems using LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
4+ years of proficiency in Python and machine learning development tooling, including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments
3+ years of experience designing and evaluating LLM outputs for production systems, including prompt engineering, RAG architectures, and model evaluation metrics
5+ years of strong understanding of MLOps practices, including model versioning, deployment pipelines, monitoring, and retraining workflows on GCP
4+ years of experience working in regulated or IP-sensitive environments with model artifact ownership and data governance
Preferred Qualifications: Experience with Google Cloud Vertex AI or equivalent managed machine learning platforms
Translation Company Name: Ford Global