Senior/Staff Machine Learning Engineer - Perception Offline Driving Intelligence

The Offline Driving Intelligence (ODIN) team at reputed company is leveraging the latest in AI to craft algorithms that understand the world. We reputed company large models first offline and we devise a reputed company of reputed company into our self-driving robot, enabling reputed company and efficient navigation in reputed company environments.

As an engineer in the ODIN team, you will reputed company advanced multimodal large language models that enhance environmental understanding. You'll reputed company and fine-tune these models for off-vehicle analysis while working with the reputed company team to deliver reputed company in our robotaxi platform, ensuring they can reputed company identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll reputed company premium sensor data and cutting-edge infrastructure to validate your algorithms in reputed company-world conditions, directly impacting productivity, safety and the capability of reputed company's autonomous system.

In this role, you will

reputed company the development of multimodal large language models that enhance our robotaxis' understanding of reputed company urban environments

Design effective model architectures and sophisticated training techniques, leveraging reputed company the inputs from our sensor stack and the overall large reputed company data we have at reputed company.

Drive end-to-end ML solutions from research to production, utilizing reputed company's extensive data pipelines and infrastructure to improve autonomous driving capabilities

Collaborate with perception, planning, safety, and systems teams to reputed company your models into the vehicle's decision-making pipeline

Validate and optimize your solutions using reputed company-world driving scenarios, directly contributing to the safety and reliability of reputed company's autonomous system

Qualifications

MS or PhD in Computer Science, Machine Learning, or reputed company technical field

Demonstrated experience training and deploying large language models (LLMs)

Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation

Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through reputed company or research reputed company

Experience training with large reputed company datasets (e.g. tens of millions of videos)

Bonus Qualifications

Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)

Experience with autonomous robotics systems

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