Senior Machine Learning Engineer, Perception - Autonomous Driving

About the role

For our client, we are seeking a Senior Machine Learning Engineer, Perception - Autonomous Driving to join the team of a leader in the Telecommunications & Hardware space. This role will focus on developing advanced perception solutions for autonomous driving, with a strong emphasis on deep learning and applied research. You will work closely with data collection, labeling, and engineering teams to improve model performance, robustness, and safety across complex real-world scenarios. The position also calls for translating research into production-ready systems that meet demanding latency and reliability requirements. Location: Remote - US based candidates only, no visa sponsorship available.

Responsibilities

• Design end-to-end perception solutions for autonomous vehicle traffic signal detection.
• Conduct applied research to innovate deep learning models for a variety of traffic signal tasks.
• Develop generalizable approaches for diverse operational design domains.
• Drive data-informed development in partnership with large data collection and labeling teams.
• Optimize data collection and labeling processes to improve system accuracy.
• Leverage data simulation and augmentation to address extreme scenarios.
• Productize perception solutions to meet safety, latency, and robustness requirements.

Qualifications

• PhD in Computer Science or a related field with 4+ years of experience, or MS with 6+ years of experience, or BS with 8+ years of experience.
• 2+ years of technical leadership experience preferred.
• Hands-on experience developing deep learning algorithms for real-world applications.
• Proficiency with deep learning frameworks such as PyTorch.
• Strong programming skills in Python and/or C++.
• Excellent communication and teamwork abilities.

Benefits

• Eligibility for equity options.
• Comprehensive benefits package.

Pay

Compensation: $184,000 – $356,500 annually