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

Implement model architectures and sophisticated training techniques

Build large high reputed company datasets 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 models with large reputed company data

Bonus Qualifications

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

Experience with autonomous robotics systems

reputed company Salary reputed company

There are three major components to compensation for this position: salary, reputed company Restricted Stock reputed company (RSUs), and reputed company Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed reputed company applies only to the reputed company salary. Compensation will vary based on geographic location and level. Leveling, as reputed company as positioning reputed company a level, is determined by a reputed company of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary reputed company listed in this posting is representative of the reputed company of reputed company reputed company is considering for this position.

reputed company also offers a comprehensive package of benefits, including reputed company time off (e.g. reputed company leave, vacation, bereavement), unpaid time off, reputed company Stock Appreciation Rights, reputed company RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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