GenAI Staff Machine Learning Engineer, Performance Optimization

Founded in late 2020 by a small group of machine learning researchers, Mosaic AI enables companies to create state-of-the-art AI models from scratch on their own data. From a business perspective, Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. From a scientific perspective, Mosaic AI is committed to reducing the cost of training state-of-the-art models - and sharing our knowledge about how to do so with the world - to allow everyone to innovate and create models of their own.Now part of Databricks since July 2023 as the GenAI Team, we are passionate about enabling our customers to solve the world's toughest problems by building and running the world's best data and AI platform. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.You will:

Explore and analyze performance bottlenecks in ML training and inferenceDesign, implement and benchmark libraries and methods to overcome aforementioned bottlenecksBuild tools for performance profiling, analysis, and estimation for ML training and inferenceBalance the tradeoff between performance and usability for our customersFacilitate our community through documentation, talks, tutorials, and collaborationsCollaborate with external researchers and leading AI companies on various efficiency methodsHands-on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and deep learning modelsExperience with high-performance linear algebra libraries such as cuDNN, CUTLASS, Eigen, MKL, etc.General experience with the training and deployment of ML modelsExperience with compiler technologies relevant to machine learningExperience with distributed systems development or distributed ML workloadsHands-on experience with writing CUDA code and knowledge of GPU internals (Preferred)Publications in top tier ML or System Conferences such as MLSys, ICML, ICLR, KDD, NeurIPS (Preferred)We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.Pay Range Transparency

Local Pay Range: $192,000 — $260,000 USDAbout Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

mybenefitsnow.com/databricks .Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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