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Engineering Manager
RemoteSan Francisco Bay Area, US
Remote • San Francisco Bay Area, US
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Who you are
3+ years of management experience with a proven track record of building high-performing collaborative teams of 5+ engineers
4+ years of technical experience as a technical lead / contributor in the field of AI and software engineering
In-depth understanding of deep learning, especially LLMs
Adept at navigating ambiguity and ability to exercise sound judgment to identify appropriate solutions and tools, while avoiding unnecessary complexity
Proficiency in Python programming languages, plus familiarity with frameworks such as MAX, Pytorch, or vLLM
What the job involves
Benefits
A variety of fantastic health benefits (health, dental, vision insurance; life insurance etc) are available
A 401k plan with up to 5% match
Free tax advice on Carta
Generous work-from-home stipend of $1500 to help you improve your home office
Unlimited paid time off and flexible work hours
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As the Engineering Manager for the GenAI Modeling team at Modular, you will be responsible for scaling the engineering organization to develop and maintain Modular's cutting-edge models library
Your primary goals will include ensuring the library supports all modern model architectures, providing launch-day support for novel architectures, exploring new research avenues, and fostering the growth of Modular's contributor community
You will collaborate closely with the GenAI and MAX platform teams to drive the necessary features and infrastructure for efficient model development
Lead the scoping and development of new GenAI architectures for integration into the MAX stack, ensuring top accuracy from initial research to deployment
Lead the team maintaining the MAX library of state-of-the-art models
Work with the Modular product team to select and prioritize new architectures
Lead and grow the modeling team to the scale demanded by current market needs
Drive process and technological advancements to enhance model development efficiency, and establish metrics to continuously measure and track improvements
Drive the optimal model development experience by collaborating with stakeholders to influence the development of necessary libraries and tooling
Collaborate with the Modular community to facilitate contributions to the models library
Influence the Modular practices for collaboration and cross-stack development
