Machine Learning Engineer

About This Opportunity

Our talent team is representing a confidential autonomous vehicle AI organization in their search for a Machine Learning Engineer to join their Application Engineering team. This is a remote role working on cutting-edge model-based driving systems.

You'll lead critical initiatives that advance end-to-end driving models, working across model architecture, data pipelines, evaluation frameworks, and real-world deployment. Your contributions will directly impact driving performance, personalization, comfort, and collaborative features as the technology scales from assisted to autonomous capabilities.

Responsibilities

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization
• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment
• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development
• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems
• Collaborate cross-functionally with AI Platform, Simulation, Robot Software, and Model Release teams to ensure integration and iteration velocity
• Mentor senior engineers and shape long-term technical direction across the autonomy organization

What We're Looking For

Essential qualifications:

• Extensive and proven track record of shipping deep learning systems to production
• Expert-level knowledge in deep learning, especially sequential models, control, planning, or perception
• Proficient in Python and other relevant languages (e.g., C++ and CUDA) and ML frameworks (especially PyTorch), with solid software engineering practices
• Experience with real-time systems or robotics, ideally with simulation or vehicle-in-the-loop components
• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Desirable experience:

• Prior work in autonomous driving, imitation learning, or trajectory prediction
• Familiarity with personalization, human behavior modeling, or driver intent inference
• Experience integrating ML systems into production hardware or multi-agent simulation

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our team to ensure the best experience for everyone involved.

This is a full-time, remote position. Our client operates a hybrid working policy combining office time with remote flexibility.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices. We welcome candidates from all backgrounds and encourage you to apply even if you don't meet every qualification listed. We're happy to provide accommodations during the interview process—just let us know how we can help.