Senior Software Engineer - ML Offboard Models

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. On the data augmentation front, the focus is on developing ML solutions for multi-view, multi-sensor dynamic scene manipulation including ego, actor and sensor edits. To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge ML algorithms and models that can help improve the diversity of our datasets in a cost efficient manner. What you’ll do: Develop auto-labeling and/or data augmentation solutions for addressing the data diversity and/or annotation needs for onboard perception and mapping 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, mapping 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 What you'll need to succeed: 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 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 Experience in developing/fine-tuning transformer models, diffusion models, or vision language models (VLM) Development experience in Python/C++ environments Nice to have: Experience in developing Neural Radiance Field (NeRF) and/or Gaussian Splatting based 3D scene reconstruction and manipulation systems What we offer you: 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 ... (truncated, view full listing at source)