The opportunity
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…
What you'll do
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.
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++)
What they're looking for
- 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)
