Latitude AI is hiring a
Senior Software Engineer

Summary

The job is for a Machine Learning Engineer in the State Estimation team at Latitude AI, a subsidiary of Ford Motor Company. The role involves developing machine learning models and algorithms for multi-object tracking, state estimation, and uncertainty estimation, among other tasks. The team is based in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
• Experience in developing multi-object tracking systems using classical algorithms or machine learning algorithms
• Strong experience in deep learning, Bayesian filtering, and optimization algorithms
• At least 4 years of development experience in Python/C++ environment

Responsibilities

• Develop machine learning models and Bayesian algorithms for multi-object tracking, state estimation, and uncertainty estimation
• Develop deep learning models with temporal fusion for scene state estimation including occupancy, visibility, motion (velocity), and uncertainty
• Develop estimation algorithms for road feature estimation such as lane lines and speed limit as well as estimating the road shape
• Read literature, analyze raw data, and design state-of-the-art solutions
• Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
• Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization

Preferred Qualifications

• Ph.D. with machine learning focus, or equivalent experience
• Experience developing and deploying temporal computer vision models (for instance, video activity recognition or using multiple frames for improved results on other tasks)

Benefits

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 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
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives