Who We Are
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas.
The company’s core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware.
The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.
About the role
In this role, you will be a key member of the behavior team focused on solving the hardest autonomy problems. Here you will explore novel and advanced machine learning methods to solve practical real-world challenging problems in autonomous driving.
You will be focusing on researching and developing state of the art generative models, with an emphasis on diffusion models, and bring advancements in this field to the AV domain.
About the Work
- Work on scalable generative models, with a focus on diffusion models for behavior models.
- Learn a distribution of future behaviors of our autonomous vehicle and other onroad agents (e.g. pedestrians, vehicles, cyclists).
Apply the model to various tasks such as planning, prediction, data generation, simulation, and so on.
- Research SoTA algorithms to improve generative models’ performance and optimize their latency. This includes alignment with reward / cost models, controllability, model scaling up and distillation, mode recovery, fine-tuning with closed-loop RL, etc.
- Research experiences we are looking for are generative models and diffusion models for autonomous driving and robotics.
However, experiences in video generation, text-to-image generation, image in-painting / out-painting, etc. are also welcome.
- Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges. Understand issues, propose ideas, prioritize work and develop solutions to solve them.
- Derive practical solutions and deploy them on the NuroBot.
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 3 years experience on generative models.
- You have subject matter expertise and research in one or more of the following areas : scalable generative and diffusion models, generative model alignment with reward / cost models, controllability, distillation, mode recovery, fine-tuning with closed-loop RL, applications to autonomous driving and robotics, and other experiences such as video generation, text-to-image generation, in-painting / out-painting and so on.
- 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 $138,225 and $207,575 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.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees.
Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
J-18808-Ljbffr
Senior/Staff Machine Learning Research Scientist: Generative Models for Behavior Modeling
Work on scalable generative models, with a focus on diffusion models for behavior models. Research experiences we are looking for are generative models and diffusion models for autonomous driving and robotics. You have subject matter expertise and research in one or more of the following areas: scal...
Research Scientist for Generative AI, LLM and Multimodal 【Talent Spotters】
Practical experience in one or more areas of computer vision, including but not limited to large language models, speech/music understanding and generation, multimodal generation, diffusion model, GAN, transformer for generation tasks, large-scale training, RLHF, and generative AI. With a suite of m...
Machine Learning Research Engineer, Natural Language Generation (NLG)
KEY RESPONSIBILITIES: - Development and maintenance of modeling pipelines that scale to multiple languages and production deployment - Definition of robust automated evaluation metrics to facilitate hillclimbing model quality - Failure analysis to understand shortcomings of our models - Research int...
Software Engineer, Large User Models, Core Machine Learning
Conduct applied research to improve the quality and training/serving efficiency of Large Transformer-based User Models. Collaborate with researchers to develop new Machine Learning (ML) architectures, techniques, and metrics. Experience with Large Language Models, NLP or Generative AI. Experience tr...
Research Scientist/Engineer, Mobile Manipulation - Behaviors
Invent and deploy innovative solutions at the intersection of machine learning, mobility, manipulation, human interaction, and simulation for performing useful, human-level tasks, in and around homes. Invent novel ways to engineer and learn robust, real-world behaviors, including using optimization,...
AI Research Scientist, Behavior (GenAI)
We're currently looking for research scientists with specialized skills in Autonomous Driving Behavior, including, but not limited to, prediction and planning, generative approaches to trajectory forecasting, and addressing generative model issues. Expertise in programming languages and tools critic...
Research Scientist (L6) - Machine Learning and Inference Research
The Machine Learning and Inference Research team is a dedicated research team designed to build up Netflix’s technical capabilities by diving deep and exploring research questions aligned with the biggest challenges at Netflix while partnering with teams across the business to bring these capabiliti...
Senior ML Scientist - Large Language Models and Generative AI
Strong Experience with the latest advancements in the field of LLMs, Foundational Models, and Machine Learning, and apply the expertise to enhance the models and improve product quality. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recogni...
AIML - Machine Learning Researcher, Foundation Models
We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models. You will work with a close-knit and fast-growing team of world-class engineer...
Senior Research Scientist for Distributed Intelligent Systems
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. Preferred Qu...