Salary
💰 $174,000 - $261,000 per year
Tech Stack
CloudPythonPyTorchTensorflow
About the role
- Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale
- Work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering
- Unified Model development team builds compute-efficient, multi-view, multi-sensor deep learning models for detection, segmentation, lane line detection, state estimation, and scene representation
- Develop spatio-temporal machine learning models for detection, multi-sensor fusion, segmentation, etc.
- 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 develop clean and efficient perception software
Requirements
- A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field
- Expert-level 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, Radar, and LiDAR
- Strong experience in computer vision, perception, and point cloud processing
- Proven experience in shipping computer vision software products to industry or consumers
- At least 5 years of development experience in Python/C++ environments
- Ph.D. with machine learning focus, or equivalent experience (nice to have)
- Experience developing and deploying temporal computer vision models (for instance, video activity recognition or using multiple frames for improved results) (nice to have)