Senior Software Engineer, Machine Learning (Offboard Models)

Latitude AI•Detroit, MI

20h

About The Position

Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Offboard Models team is a group of highly skilled and experienced professionals who specialize in cutting-edge computer vision and machine learning technology. Together, we collaborate to create auto-labeling and data augmentation solutions for autonomy consumers including perception and mapping. On the auto-labeling front, the primary focus is on developing multi-view, multi-sensor deep learning models capable of leveraging the maximal sensing suite on our development and consumer vehicles to perform a wide range of tasks such as 3D object detection, lane line detection and scene segmentation.

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)
Strong knowledge and experience (4+ years) in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
Experience in developing perception systems using sensors such as camera, LiDAR, and RADAR
Experience in developing object detection, lane detection, or semantic segmentation models
At least 4 years of development experience in Python/C++ environments

Nice To Haves

Experience developing transformer models, diffusion models, or vision language models (VLM)

Responsibilities

Develop auto-labeling and/or data augmentation solutions for addressing the data diversity and/or annotation needs for onboard perception
Read literature, analyze raw data, and design state-of-the-art solutions
Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, cloud deployment, and productization
Develop clean and efficient software for auto-labeling and/or data augmentation modules interfacing with consumer modules such as perception and resimulation
Build and maintain industry-leading software practices and principles
Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

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
Daily lunches, snacks, and beverages available in all office locations
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