Machine Learning Research Scientist
ML Planning
Confirmed live in the last 24 hours
Nuro

501-1,000 employees

Autonomous electric vehicles for home delivery services
Company Overview
Nuro stands out as a leader in the robotics industry with its mission to enhance everyday life through its custom electric autonomous vehicles, designed to deliver essential items directly to consumers' homes. The company's unique autonomy architecture ensures safer driving and communities by eliminating any single point of failure. With its operations in Texas, Arizona, and California, Nuro not only offers a convenient, eco-friendly, and safe alternative to driving but also contributes to making cities more livable.
Consumer Goods
Robotics & Automation

Company Stage

Series D

Total Funding

$2.1B

Founded

2016

Headquarters

Mountain View, California

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

-27%

2 year growth

-34%
Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
CategoriesNew
Lab & Research
AI & Machine Learning
Mechanical Engineering
Software Engineering
Requirements
  • You have an M.Sc. plus 2-3 years of relevant work experience or a Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • You have subject matter expertise and research in one or more of the following areas: sequential decision making, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models (pretraining/finetuning), machine learning for robotics
  • You have strong problem solving and programming skills in Python and/or C++
  • Strong culture fit and good team player
  • Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.)
Responsibilities
  • Work on a scalable machine learning based planner and prediction system to generate safe and feasible trajectories for autonomous driving
  • Research sequential decision making and/or sequence modeling, including but not limited to imitation learning, reinforcement learning, causal inference, human-in-the-loop learning (e.g. human feedback), joint trajectory prediction and planning, etc
  • Mitigate the uncertainties accommodated through the Autonomy stack
  • Build effective and efficient ML data pipelines
  • Collaborate with autonomy teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and deploy them on the NuroBot
Desired Qualifications
  • This position is also eligible for an annual performance , equity, and a competitive benefits package