ML Research Intern Autonomous Driving & Forecasting

Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Research, design and implement state-of-the-art machine learning models that can be incorporated into our stack to perform scene understanding, trajectory prediction, and high-level decision making Responsibilities Assist with model fine tuning tasks needed for on-road deployment. Conduct model training experiments with different masking strategies to get valid planning trajectories for active-merge scenarios. Review latest literature in motion forecasting and suggest adoptions to Plus data-driven planning framework. Required Skills Pursuing MS or PhD in CS, EE, mathematics, statistics or related field. Deep understanding of machine learning principles and methodologies. Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax). Preferred Skills Past experience in deep learning projects related to autonomous systems (e.g. object detection, semantic segmentation, agent prediction, decision making). Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH). Salary Range $19 - $65 an hour Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. Your opportunities joining Plus Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. #J-18808-Ljbffr