Machine Learning Scientist

Ford Motor Company • Palo Alto, CA • 1d ago

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.

Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

Apply AI and Machine Learning technology to solve complex, real-world problems

Analyze and visualize diverse sources of data, interpret results in a business @context and report results clearly and concisely

Fulfill problem formulation and ML technique consulting requests in a timely manner

Communicate and present analytical models to business customers and executive management

Work collaboratively with different business partners and be able to present results in a clear and concise manner

Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science

OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

Experience with cloud-based deployments and best practices

Demonstrated contributions and expertise in one or more of the following AI domains:

Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale)

Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

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 (https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2025-benefits-and-comp-gsr-sal-plan-4.pdf)

This role is based out of Palo Alto, CA, you will be required to be on-site 4 days/week.

*Visa Sponsorship is NOT provided for this specific role ***

*Relocation assistance IS provided for this specific 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.

LI-On-site

LI-DS2

Requisition ID : 48794

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