Ford Motor Company
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 plans for the future of mobility, we offer a variety of opportunities to accelerate your career and help shape tomorrow’s transportation.
The future of smart mobility depends on data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a key role. We serve as Ford's trusted advisers, providing insights into business conditions, customer needs, and the competitive environment. Our work enables key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to evidence-based decision-making.
Ford's GDI&A department seeks talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our goal is to foster evidence-based decisions by unlocking insights from data across domains like Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.
We are looking for exceptional Machine Learning and AI scientists eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, proactive, and passionate about learning to navigate the evolving field of mobility technology. We offer the freedom to conduct original research, choose methodologies, and tackle world-class machine learning challenges.
This role involves applying AI and ML to innovate in 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.
Qualifications
Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (managing data, applying statistical techniques, reporting results) OR Master’s degree in related fields AND 3+ years of data-science experience OR bachelor’s degree AND 5+ years of data-science experience Experience with cloud-based deployments and best practices Expertise in AI domains such as: Natural Language Processing (finetuning and distillation of LLMs, evaluation, deployment) Computer Vision (anomaly detection, multi-sensor fusion, object detection, scene segmentation, motion prediction) Generative AI (fine-tuning diffusion models, multi-modal LLMs, 3D generation) Physics-informed neural networks (ML for fluid dynamics, finite element analysis, point cloud/mesh neural networks, PDE surrogate modeling) Benefits and Additional Information
Immediate medical, dental, and prescription drug coverage Flexible family care and parental leave programs Vehicle discount for employees and family Tuition assistance Employee resource groups Paid community service time and holidays Paid time off with options to purchase additional vacation This role is based in Palo Alto, CA, requiring on-site presence 4 days/week.
Visa sponsorship is not available for this role, but relocation assistance is provided. Applicants must be legally authorized to work in the U.S. Verification of employment eligibility is required. Ford is an Equal Opportunity Employer committed to diversity. For accommodations during the application process, contact 1-888-336-0660. Responsibilities
Analyze data, working with structured and unstructured sources Manipulate high-volume, high-dimensional data to identify patterns and trends Apply AI and ML to solve complex problems Analyze and visualize data, interpret results, and report findings Respond to problem formulation and ML consulting requests Present models and results to business and executive audiences Collaborate with partners and communicate findings effectively
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Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (managing data, applying statistical techniques, reporting results) OR Master’s degree in related fields AND 3+ years of data-science experience OR bachelor’s degree AND 5+ years of data-science experience Experience with cloud-based deployments and best practices Expertise in AI domains such as: Natural Language Processing (finetuning and distillation of LLMs, evaluation, deployment) Computer Vision (anomaly detection, multi-sensor fusion, object detection, scene segmentation, motion prediction) Generative AI (fine-tuning diffusion models, multi-modal LLMs, 3D generation) Physics-informed neural networks (ML for fluid dynamics, finite element analysis, point cloud/mesh neural networks, PDE surrogate modeling) Benefits and Additional Information
Immediate medical, dental, and prescription drug coverage Flexible family care and parental leave programs Vehicle discount for employees and family Tuition assistance Employee resource groups Paid community service time and holidays Paid time off with options to purchase additional vacation This role is based in Palo Alto, CA, requiring on-site presence 4 days/week.
Visa sponsorship is not available for this role, but relocation assistance is provided. Applicants must be legally authorized to work in the U.S. Verification of employment eligibility is required. Ford is an Equal Opportunity Employer committed to diversity. For accommodations during the application process, contact 1-888-336-0660. Responsibilities
Analyze data, working with structured and unstructured sources Manipulate high-volume, high-dimensional data to identify patterns and trends Apply AI and ML to solve complex problems Analyze and visualize data, interpret results, and report findings Respond to problem formulation and ML consulting requests Present models and results to business and executive audiences Collaborate with partners and communicate findings effectively
#J-18808-Ljbffr