Machine Learning Policy - Technical Expert

September 26

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Ford Motor Company

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Automotive • Financial Services • Mobility

10,000+

💰 Post-IPO Debt on 2023-08

Description

• Provide technical expertise and guidance on the legal and ethics implications of machine learning and artificial intelligence • Work with the office of the general counsel and the policy office to ensure that Ford's AI projects are in compliance with relevant laws and regulations • Help design and implement Ford's approach to AI ethics and responsible AI • Communicate with technical and non-technical business partners across the company to ensure that AI projects are being developed responsibly • Apply AI and machine learning technology to solve complex, real-world problems • Review proposed and pending legislation and provide feedback • Regularly review and update internal AI ethics policies and training materials.

Requirements

• Bachelor’s degree in computer science, mathematics, statistics, physics, research or related field • 3+ years of professional experience with Data Science • 3+ years of exposure to building, deploying, and using machine learning models • Doctorate in computer science, mathematics, statistics, physics, research or related field AND 1+ year(s) data-science/ML experience • OR master’s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science/ML experience • OR bachelor’s degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science/ML experience • 5+ years of professional experience with Data Science • 5+ years of exposure to building, deploying, and using machine learning models • Prior work as a science or technical communicator • Experience with legal compliance in the technology sector • Experience with cloud-based software/ML deployments and best practices • Demonstrated contributions and expertise in one or more of the following areas of machine learning: Natural Language Processing, Computer Vision, Generative AI, Physics-informed Neural Networks • Strong technical writing and oral communication skills • Interest in the intersection of technology, law, and policy • Strong analytical and problem-solving skills • Good organizational skills and the ability to work independently • Experience with the complete machine learning/software lifecycle.

Benefits

• Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.