Nuro

Machine Learning Research Scientist: Generative Modeling for Planning

Nuro$160K — $240K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. (preferable) or M.Sc. with 2-3 years of experience in generative models.
  • Research experience in generative models, particularly in robotics applications.
  • Strong programming skills in Python and/or C++.
  • Demonstrated ability to work collaboratively and fit well within a team.
  • Proven track record of research publications in top machine learning conferences.

Responsibilities

  • Develop and scale advanced generative models for autonomous planning.
  • Build generative models using large language and world foundation models.
  • Optimize models using reinforcement learning for improved reasoning.
  • Explore reward modeling and self-play strategies with generative models.
  • Collaborate across teams to create solutions for autonomy challenges.
  • Evaluate solutions by deploying models onto the NuroDriver.

Benefits

  • Annual performance bonus and equity options.
  • Comprehensive and competitive benefits package.
Full Job Description
About the Work
  • Develop and scale state-of-the-art generative models-especially diffusion architectures, flow-matching techniques, and energy-based models -for autonomous plan generation.
  • Build generative models with foundation models. Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation.
  • Optimize generative models using reinforcement learning to improve interactive reasoning. Explore reward modeling/learned verifier using generative models. Explore joint prediction and planning and self-play. Leverage generative models for active learning and world modeling.
  • Develop controllable generative models to guide the generation process towards desired goals, conditions and rewards.
  • Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them, evaluate your solution by deploying the models on to the NuroDriver.

About You

You have deep expertise and prior experience in some or many of the following areas:
  • You have a Ph.D. (preferable) or M.Sc. with 2-3 years of experience working with generative models in the lab, in industry, or both.
  • Research experiences in generative models, particularly diffusion models, flow matching and energy-based models, for robotics, including manipulation, path planning, and autonomous driving. Experiences in vision-language-action models, reinforcement learning for generative model optimization, video generation, text-to-image generation, diffusion models for LLMs, world foundation models, and other applications of generative modeling are a bonus!
  • 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.)

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540/ year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

About Nuro

Nuro is a technology company that develops autonomous delivery vehicles. The company was founded in 2016 by two former Google engineers, Dave Ferguson and Jiajun Zhu. Nuro's vehicles are designed to transport goods, rather than people, and are being used by companies such as Kroger and Domino's Pizza for deliveries. The company has raised over $1 billion in funding and is valued at over $5 billion.
Learn more about Nuro
Size
1,000 employees
Industry
Founded
2016

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