Collision Avoidance System, Machine Learning Internship

As an Autonomous Vehicle Perception Intern, you will play an essential part in the design and application of deep neural networks that incorporate data from various sensor types, improving the perception and predictive abilities of autonomous vehicles in challenging urban environments. This internship offers a unique opportunity to work with experts in the field and gain valuable experience in cutting-edge deep learning techniques. Responsibilities Include: - Cooperating with our team of engineers to develop and implement cutting-edge deep neural networks crafted for autonomous vehicle perception. - Utilizing sensor data from diverse sources, including LiDAR, radar, and cameras, to build robust models that enhance the vehicle's capacity to perceive and predict its surroundings. - Participating in the development and refinement of a product-ready code base, ensuring that the code is scalable, maintainable, and upholds high-quality standards. Technical Qualifications & Language Requirements: - Must be an MSE degree holder or a senior PhD candidate in Computer Science, Computer Vision, Robotics, or a related field. - Experience with contemporary deep learning frameworks such as Pytorch and Tensorflow. - Proficiency in C++. - Experience in implementing and training deep learning models. - Experience in computer vision is advantageous. Compensation: The monthly salary for this position ranges from $6,500 to $9,500. Compensation will vary based on role, degree level, and type, with benefits offered based on eligibility. Additional benefits might include medical insurance, 401k, and a housing stipend. Vaccine Mandate: Employees working in this position will be required to have received an approved vaccine by the U.S. Food and Drug Administration and/or the World Health Organization. Additionally, eligible employees for a COVID-19 booster vaccine will be required to receive it. Employees will need to show proof of vaccination status upon receipt of a conditional offer of employment, which will be contingent upon the applicant's ability to show proof of vaccination status. The Company provides reasonable accommodations according to applicable state, federal, and local laws. About Zoox: Zoox is developing the first end-to-end autonomous vehicle fleet and the supporting ecosystem required to introduce this technology to the market. Zoox sits at the crossroads of robotics, machine learning, and design, striving to provide the next generation of mobility-as-a-service in urban environments. We're seeking top-tier talent that shares our vision and wants to be part of a fast-paced, execution-focused team. A Final Note: You do not need to fulfill every listed expectation to apply for this position. Zoox understands that diverse perspectives foster the innovation we need to be successful, and we are dedicated to building a team that embraces a range of backgrounds, experiences, and skills.