Latitude AI develops automated driving technologies for Ford vehicles at scale. The role involves developing machine learning models and algorithms for multi-object tracking and state estimation, ensuring successful production-level implementation of perception systems.
Responsibilities:
- Develop machine learning models and Bayesian filtering algorithms for multi-object tracking, state estimation, and uncertainty estimation
- Develop estimation algorithms for road feature estimation such as lane lines and speed limit as well as estimating the road shape
- Develop forecasting algorithms for actors in the scene to estimate time-to-collision and threat levels for automatic emergency braking
- 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 roboticist 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
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)
- Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch 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
- Proven experience in shipping perception software products to industry or consumers
- At least 4 years of development experience in Python/C++ environment
- Ph.D. with machine learning focus, or equivalent experience
- Experience developing and deploying machine learning models with compute constraints