Senior Research Engineer, Vision & Multimodal Models

Tri

Los Altos (CA)

On-site

USD 180,000 - 258,750

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) eligibility
Paid time off benefits
Annual cash bonus structure

Job summary

Toyota Research Institute (TRI) is seeking a Research Engineer in Los Altos, California. In this role, you will work closely with research teams to develop and deploy innovative AI models for autonomous driving. You'll be responsible for optimizing large-scale distributed training, collaborating with divisions across TRI, and building scalable data pipelines.

The ideal candidate holds a Master's or PhD in Computer Science or a related field, with strong expertise in Python and PyTorch. This position offers a competitive salary and a comprehensive benefits package, fostering a collaborative and inclusive work environment.

Qualifications

  • 2 years of relevant experience in a related field.
  • Strong software engineering skills.
  • Hands-on experience with large-scale deep learning training.

Responsibilities

  • Collaborate with research scientists on architectures and objectives.
  • Build scalable pipelines for multi-modal datasets.
  • Support and optimize training of world foundation models.

Skills

Python
PyTorch
Deep Learning Training
Data Pipeline Development

Education

Master's or PhD in Computer Science, Electrical Engineering, Machine Learning

Tools

Docker
Kubernetes

Job description

Toyota Research Institute (TRI) is seeking a Research Engineer in Los Altos, California. In this role, you will work closely with research teams to develop and deploy innovative AI models for autonomous driving. You'll be responsible for optimizing large-scale distributed training, collaborating with divisions across TRI, and building scalable data pipelines.

The ideal candidate holds a Master's or PhD in Computer Science or a related field, with strong expertise in Python and PyTorch. This position offers a competitive salary and a comprehensive benefits package, fostering a collaborative and inclusive work environment.

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