Latitude AI is developing automated driving technologies, including L3, for Ford vehicles at scale, aiming to make travel safer, less stressful, and more enjoyable. The Perception Applications team specifically focuses on creating advanced perception models using computer vision and machine learning to interpret sensor data for ADAS features, ultimately transitioning these algorithms from research to production-grade systems on vehicles.
Requirements
- 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 3 years of development experience in Python/C++ environments
- Experience developing and deploying temporal computer vision models (for instance, video activity recognition or using multiple frames for improved results on other tasks)
Responsibilities
- Develop spatio-temporal machine learning models for object detection, classification, 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 principles
- Develop clean and efficient software for perception modules interfacing with other key modules
Other
- Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment
- Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis.
- Visa sponsorship is available for this position.
- We are an Equal Opportunity Employer committed to a culturally diverse workforce.
