Machine Learning Engineer (State Estimation) - Latitude AI
Latitude AI, an automated driving technology company and Ford Motor Company subsidiary, is seeking a skilled Machine Learning Engineer to join the State Estimation team. We are developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale, aiming to make travel safer, less stressful, and more enjoyable. You'll work alongside leading experts in ML and robotics to develop advanced models for multi-object tracking, scene estimation, and road feature prediction.
About the Role
As part of the State Estimation team, you will focus on developing compute-efficient models and systems for tasks such as closed-world multi-object tracking, track-to-detection data association, object motion forecasting, uncertainty estimation, and road shape estimation. The ultimate goal is to transition these algorithms from the lab to production-grade perception systems on vehicles, optimizing for onboard performance.
What You'll Do
- Develop spatio-temporal machine learning models for multi-object tracking and uncertainty estimation.
- Develop machine learning models to estimate road features, lane markings, road shape, and road topology.
- Conduct literature reviews, analyze raw data, and design state-of-the-art solutions.
- Transition solutions from the lab to the test track and public roads for successful production-level implementation.
- Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization.
- Build and maintain industry-leading software practices and principles.
- Develop clean and efficient software for perception modules that interface with other key modules.
- Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment.
What You'll Need to Succeed
- Education & Experience:
- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field, with 4+ years of relevant experience; OR
- Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field, with 2+ years of relevant experience.
- Experience in developing multi-object tracking systems using machine learning models.
- Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks.
- Strong experience in computer vision, perception, and deep learning.
- Proven experience in shipping perception software products to industry or consumers.
- At least 4 years of development experience in a Python/C++ environment.
Nice to Have (Optional)
- Ph.D. with a machine learning focus, or equivalent experience.
- Experience developing and deploying machine learning models with compute constraints.
What We Offer You
- Competitive compensation packages.
- High-quality individual and family medical, dental, and vision insurance.
- Health savings account with employer match.
- Employer-matched 401(k) retirement plan with immediate vesting.
- Employer-paid group term life insurance and optional voluntary life insurance.
- Paid parental leave and Adoption/Surrogacy support program.
- Paid medical leave.
- Unlimited vacation and 15 paid holidays.
- Complimentary daily lunches, beverages, and snacks for onsite employees.
- Pre-tax spending accounts for healthcare and dependent care expenses.
- Pre-tax commuter benefits.
- Monthly wellness stipend.
- Backup child and elder care program.
- Professional development reimbursement.
- Employee assistance program.
- Discounted programs (legal services, identity theft protection, pet insurance, etc.).
- Company and team bonding opportunities (employee resource groups, quarterly team activity stipend, wellness initiatives).
About Latitude AI
Latitude AI operates independently as a Ford Motor Company subsidiary, developing automated driving technology at the speed of a tech startup. We are headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Learn more about our team, mission, and career opportunities at lat.ai.
Note: Latitude AI is an Equal Opportunity Employer. Candidates must be legally authorized to work in the U.S. Verification of employment eligibility will be required. Visa sponsorship is available.