Intern, Machine Learning Engineer, Summer 2026
- Develop machine learning and computer vision algorithms
- Benchmark the performance
- Propose innovative software algorithms to enhance future autonomous driving capabilities
- Design and implement cutting-edge deep learning algorithm prototype for surround view depth estimation and 3D object detection using cameras and lidar
- Curate and develop data pipeline, validate perception algorithms on Lucid’s data
- Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation
- Proficient in Python with a focus on clean, efficient, and scalable software development
- Comfortable working with large codebases and debugging complex machine learning models.
- Experience with PyTorch or other ML frameworks
- Excellent communication skills and a strong team player
- Experience conducting research projects based on Autonomous Vehicles
- Exposure to image processing
- Experience developing BEV transformer models for perception
- Practical, hands-on approach to solving complex problems in autonomous driving
- Experience in testing and validating perception systems in real-world conditions
- Advanced degrees are preferred
- Field(s) of study: Electrical Engineering, Computer Science, Mechanical Engineering, Machine Learning or related fields
- Will consider undergrads Junior level or above: Pursuing a Bachelor’s or a master's degree
- Location: This position is in Newark, CA. You must be prepared to start onsite for your first day of employment.
- Availability: Full-time is preferred
- Anticipated Hours: 8:30am – 5:30pm
- Work Environment: Mix of office and bay.
- Compensation: Student compensation is based on location and current degree level, non-negotiable.
- Visa Sponsorship: Lucid may but is not obligated to sponsor foreign national employees requiring company sponsorship for U.S employment authorization.
- Medical Benefits: Dental and vision on day 1 for all interns working 30+ hours a week; medical for interns in California working 30+ hours a week.
- Housing/Transportation: You must provide your own living arrangements and transportation in the local area.
- Background Check: All offers of employment are contingent on clearing a background check.
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