> Markdown version of [/jobs/ext/1467457-machine-learning-researchers-and-engineers](https://www.wearedevelopers.com/jobs/ext/1467457-machine-learning-researchers-and-engineers). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # machine learning researchers and engineers - **Company:** Nuro Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $275,975.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Python (Programming Language), Machine Learning, Object Detection, Sensor Fusion, Deep Learning, Performance Monitor, Machine Learning Operations - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/0614f6f4-4f56-4332-ac44-9ecb2a002cec ## About the Role * Recent experience in applying state-of-the-art deep learning techniques to solving autonomous driving problems, such as modern object detection models, sensor fusion, and multiple task learning. * Strong ML fundamentals and has demonstrated experience building and expanding model architectures * Strong SWE fundamentals and has demonstrated SWE experience in both high and low-level languages (Python and C++) * Bonus: Experience in deploying models in real time environments. Optimizing architectures to explore the accuracy vs. compute tradeoff * Bonus: Experience working with productizing ML models and the infrastructure supporting model development (data, large scale training, eval, etc) ## Description Our team is growing and we are looking for experienced machine learning researchers and engineers to join us. In this role, you will apply your expertise in machine learning to solve an array of challenges in Nuro's autonomy stack - detection with sensor fusion, tracking, fine grained classification, human intent understanding, to name a few. About the Work * You will be involved in all stages of problem solving, including initial proof of concept, model iteration, onboard deployment, and on-road performance monitoring and troubleshooting. * You will develop techniques and/or processes that allow us to train models that are able to utilize massive scale of data, but still keep the model onboard latency in check so that it is deployable. * You will have the opportunity to take a novel problem, assume the ownership, and just go deep on it. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Code to Road in < 12 hours](https://www.wearedevelopers.com/videos/1082-code-to-road-in-12-hours) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)