GenAI Staff Machine Learning Engineer, AI Runtime

March 20

🏢 In-office - San Francisco

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Databricks

Databricks is the lakehouse company$1. .$1

Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science

1001 - 5000

💰 $1.6G Series H on 2021-08

Description

• Design and productionize state of the art tooling and open source technologies to enable the development of frontier foundation models for Databricks customers • Solve complex problems at scale around data preprocessing, model training, hyperparameter tuning and model evaluation • Implement advanced optimization techniques to reduce the resource footprint of models while preserving their performance and balancing usability for our developers and customers • Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps • Facilitate our user community through documentation, talks, tutorials, and collaborations • Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader.

Requirements

• Hands on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion) • Experience with large scale, distributed training on GPUs (e.g., Nvidia, AMD) and alternative deep learning accelerators • Strong sense of design and usability • Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders • Prior history of contributing to or developing open source projects is a bonus but not a requirement

Benefits

• Actual compensation packages are based on several factors • Base salary range for non-commissionable roles • or on-target earnings for commissionable roles

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