Mid Level Perception Machine Learning Algorithm Engineer
Listed on 2026-02-06
-
Engineering
AI Engineer
Join to apply for the Mid Level Perception Machine Learning Algorithm Engineer role at Jobright.ai
Mid Level Perception Machine Learning Algorithm Engineer2 days ago Be among the first 25 applicants
Join to apply for the Mid Level Perception Machine Learning Algorithm Engineer role at Jobright.ai
Get AI-powered advice on this job and more exclusive features.
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Lucid Motors is an automotive company that specializes in electric cars, seeking an experienced Perception Machine Learning Algorithm Engineer to join their ADAS/Autonomous Driving team. The role involves researching, designing, implementing, optimizing, and deploying machine learning models to advance perception algorithms for autonomous driving.
Responsibilities:
• Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
• Research and integrate BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
• Test, release, and deploy perception algorithms into Lucid production programs.
• Support the validation and verification of perception algorithms using prototype and pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving capabilities.
Qualifications:
Required:
• 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 (e.g., Tensor Flow, MXNet).
• Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
• Excellent communication skills and a strong team player.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
• Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.
• Advanced degrees are preferred.
Preferred:
• Proficiency in C++ with experience writing efficient, maintainable code.
• Practical, hands-on approach to solving complex problems in autonomous driving.
• Experience in testing and validating perception systems in real-world conditions.
• Experience working in agile development teams.
• Expertise in component and system integration, testing, and verification at the system and vehicle levels.
Company:
Lucid Motors is an automotive company that specializes in electric cars. Founded in 2007, headquartered in Newark, California, USA, team size employees, currently Public Company. Lucid Motors has a track record of offering H1B sponsor ships.
Seniority level- Seniority level
Mid-Senior level
- Employment type
Full-time
- Industries Software Development
Referrals increase your chances of interviewing by 2x
Inferred from the description for this jobMedical insurance
Vision insurance
401(k)
Get notified when a new job is posted.
Sign in to set job alerts for “Machine Learning Engineer” roles.Detroit, MI $-$ 2 weeks ago
Detroit, MI $-$ 2 weeks ago
Detroit, MI $90,000.00-$ 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).