Machine Learning Infrastructure Engineer
3 days ago
Nuro is a pioneering robotics company dedicated to enhancing everyday life through innovative technology. Founded in 2016, we have spent years developing autonomous driving (AD) solutions and commercializing AD applications. Our world-class Nuro DriverTM combines AD hardware with AI-first self-driving software, built to learn and improve through data.
We've secured over $2B in capital from leading investors like Fidelity, Bailie Gifford, T. Rowe Price, Google, and others. We've also partnered with respected brands such as Uber, FedEx, Domino's, Walmart, Kroger, and 7-Eleven.
The role of the Machine Learning Infrastructure Engineer involves building scalable machine learning infrastructure and distributed training solutions to empower ML development at Nuro. Depending on your skill set and interests, you will work on some or all of the following:
- Researching and developing new distributed training frameworks and strategies to support training deep learning models with growing sizes.
- Optimizing Tensorflow, Keras, Pytorch, and Cuda kernel implementation to improve model training speed.
- Engineering advanced tools to profile and monitor model training performance across all teams, detecting and triaging training problems.
This position requires 2+ years of relevant work experience or an equivalent experience in PhD. You should understand machine learning models and the ML development life cycle. Experience in building a cloud-based distributed training platform that supports data and model parallelism is necessary. Investigating and optimizing training performance bottlenecks for deep learning models is also required.
Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. The reasonably expected base pay range is between $167,200 and $250,800 for this position. This role is eligible for an annual performance bonus, equity, and a competitive benefits package.
Nuro values diversity and inclusivity, fostering a workplace culture of psychological safety for all employees. We are committed to being an equal opportunity employer, prohibiting any form of workplace discrimination based on protected characteristics.
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