Deep Learning Framework Specialist

3 weeks ago


San Francisco, California, United States Databricks Full time
About the Role

The GenAI Staff Machine Learning Engineer, Performance Optimization position at Databricks is a key contributor to our company's mission of democratizing access to high-quality AI models and reducing the cost of training them. As a member of the GenAI Team, you will work closely with our engineers to optimize the performance of our AI models and create innovative solutions to complex problems.

Responsibilities

You will lead the analysis of performance bottlenecks in ML training and inference, design and implement libraries and methods to overcome these challenges, and collaborate with our team to balance performance and usability for our customers. Additionally, you will facilitate our community through documentation, talks, and collaborations while promoting knowledge sharing and innovation within the team.

Qualifications

To excel in this role, you will need hands-on experience in deep learning frameworks (e.g., PyTorch, TensorFlow), high-performance linear algebra libraries (e.g., cuDNN, Eigen), and general experience with ML model training and deployment. Experience with compiler technologies, distributed systems development, and GPU internals is preferred. Additionally, publications in top-tier conferences like MLSys, ICML, ICLR, KDD, and NeurIPS are highly valued. We look for individuals who are passionate about staying up-to-date with the latest developments in AI and are eager to contribute to a dynamic and fast-paced environment.

Benefits

Databricks offers a comprehensive benefits package, including competitive pay, annual performance bonuses, equity, and a range of perks that meet the needs of all employees. We strive to provide an inclusive culture where everyone can excel and take pride in our commitment to diversity and inclusion. For specific details on benefits offered in your region, please visit our website.

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