Lead ML Engineer - Lane & Route Networking Mapping

RemoteLeadPosted Aug 17, 2026

PyTorchPythonC++TensorFlowComputer visionMachine learningLinuxDeep learning+12 more

About this role

Lead the architecture and development of production-grade neural networks for vectorized mapping and lane/route network extraction at an autonomous vehicle company. You'll drive BEV transformers, multimodal fusion models, and end-to-end data strategies for real-time and offline HD mapping systems deployed across diverse operational environments.

Must have

PhD or Master's in Computer Science, Electrical Engineering, Robotics, or related field

7+ years industry experience deploying ML/DL models for mapping or computer vision at scale

Deep expertise in vectorized mapping networks, BEV transformers, and temporal modeling

Experience with cross-modal calibration and fusion in Bird's-Eye-View spaces

Strong understanding of HD maps including lane geometry, connectivity, and semantics

Expertise in PyTorch or TensorFlow with distributed training and large-scale data handling

Strong Python and/or C++ programming skills with modular software design experience

Proven leadership in technical roadmaps, mentorship, and driving model performance improvements

Technologies

PythonC++GitDockerRESTLinuxJiraTestingMachine learningJSONTensorFlowpandasPyTorchAINumPyData scienceDeep learningCI/CDLLMsComputer vision

Responsibilities

Lead research, design, and training of neural networks for vectorized mapping and BEV transformers

Architect production-grade lane and route network mapping stack with upstream and downstream integration

Drive major features from inception through deployment including code reviews and automated testing

Own end-to-end data strategy for mapping domain including curation, auto-labeling, and synthetic data

Develop metrics and evaluation frameworks for lane network accuracy and temporal consistency

Collaborate with cross-functional teams to translate autonomy goals into software requirements

Ensure seamless deployment and validation of mapping features to vehicle fleet

Evaluate and innovate cutting-edge techniques including online HD map construction and Foundation Models

Benefits

Paid parental leaveHealth insuranceDental insuranceVision insuranceRetirement benefits with matchWellness platform with incentivesFlexible vacation time