Ford is undergoing its most significant transformation in over a century, and our manufacturing plants are at the heart of this evolution. In this role, you will sit within the ATP organization, focusing specifically on the "smart factory" initiative. You will be responsible for developing, deploying, and scaling machine learning models that address critical manufacturing challenges: predictive maintenance for robotics, real-time anomaly detection on the assembly line, and automated quality control.
This is a technical Individual Contributor (IC) role that requires a deep understanding of the full data science lifecycle. You won't just be building models in a vacuum; you will work cross-functionally with Product Managers, Industrial Designers, and Plant Engineers to ensure your solutions are robust, scalable, and integrated into the physical workflow of our factories. You will be a key player in Ford’s transition to a software-defined manufacturing powerhouse.
Responsibilities- Model Development: Design and implement advanced machine learning models for predictive maintenance, anomaly detection, and computer vision-based quality control.
- End-to-End Pipeline Construction: Architect data pipelines from ingestion (sensor data, PLC logs) to model deployment and monitoring using GCP and Python.
- Statistical Analysis: Apply rigorous statistical methods to identify patterns in manufacturing data that correlate with vehicle quality or equipment downtime.
- Cross-Functional Collaboration: Partner with Product and Engineering teams to translate manufacturing pain points into technical requirements and deliver user-centric data products.
- Technical Leadership: Act as a subject matter expert within ATP, conducting code reviews, mentoring junior scientists, and staying at the forefront of AI/ML research in the industrial space.
- Scalability: Ensure models are optimized for production environments, moving from localized pilots to global plant-wide deployments.
- Data Strategy: Work with data engineering to improve data collection protocols and sensor telemetry quality from the plant floor.
Minimum Requirements:
- Education: Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field
- Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
- Experience: 5+ years of professional experience in a Data Science role, with a proven track record of deploying models into production environments.
- Technical Stack:
- Proficiency in Python (R and SQL are also highly valued).
- Expertise in machine learning frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, and LightGBM.
- Experience working within Google Cloud Platform (GCP) (Vertex AI, BigQuery, Dataflow).
- Domain Knowledge: Previous experience with time-series analysis, industrial IoT data, or manufacturing quality systems.
Preferred Requirements:
- Advanced Degree: PhD in a relevant field.
- Deep Learning: Experience with Computer Vision (CNNs) for automated inspection or Transformers for complex sequence modeling in sensor data.
- MLOps: Familiarity with CI/CD for machine learning, containerization (Docker/Kubernetes), and model monitoring tools.
- Communication: Ability to explain complex mathematical concepts to non-technical stakeholders (e.g., plant managers and design leads).
- Problem-Solving: A "product-first" mindset—focusing on the business impact of the model rather than just its accuracy metrics.
You may not check every box, or your experience may look a little different from what we've 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 builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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 Year’s Day
- Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This position is a salary grade 8.
This position is a salary grade 8 and ranges from $135,420-226,980.
*Visa Sponsorship is provided for this role*
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 committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.
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