Latitude AI is hiring a
Software Engineer II

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. The team collaborates to create advanced Bayesian filters, graph models, and deep learning models that are capable of temporally tracking both static and dynamic actors as well as estimating road features.

Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience (or Master's degree and 0+ 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 2 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
• Build and maintain industry-leading software practices and principles
• Develop clean and efficient software for perception modules interfacing with other key modules
• Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

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 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 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