Databricks

2 months ago

Principal AI Research Scientist, Research Director - AI Scaling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead a world-class research team focused on large-scale ML, RL, and inference efficiency for foundation models. Define and execute scaling roadmaps, drive empirical validation, and collaborate with product and engineering to translate research into production capabilities while mentoring researchers and engineers.

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead and grow a multidisciplinary research team focused on AI problems, emphasizing LLM scaling, efficiency, and systems performance.
•Define the scaling research roadmap in alignment with strategic objectives, prioritizing foundation model efficiency and large-scale training/inference.
•Drive algorithmic innovations for large-scale neural network training and inference, with empirical validation against state-of-the-art approaches.
•Optimize end-to-end ML systems for distributed training and RL, memory and compute efficiency, working with core systems and platform teams.
•Collaborate with product and engineering to translate research breakthroughs into customer-impacting capabilities in the Databricks AI platform.

Pay and Benefits

Salary: USD 270,000 - 340,000 annually

Key Requirements

•Lead a research team focused on foundational and applied AI problems, especially LLM scaling, efficiency, and systems performance.
•Deep expertise in generative AI, LLMs, distributed ML systems, model optimization, or responsible AI with a focus on scaling and efficiency for large-scale neural networks.
•Hands-on leadership with strong programming skills in Python and PyTorch for research implementation and experimentation.
•Demonstrated ability to translate research innovations into scalable product capabilities in collaboration with product and engineering teams.
•Excellent communication, leadership, and stakeholder management skills with experience influencing cross-functional roadmaps.

Experience:AILLMsDistributed ML

Skills:LeadershipCommunicationCollaborationMentoringStakeholder management

Languages:English

Tech Stack:PythonPyTorchDistributed systemsLLMsMachine learning

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

2 months ago

Principal AI Research Scientist, Research Director - AI Scaling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead and grow a multidisciplinary research team focused on AI problems, emphasizing LLM scaling, efficiency, and systems performance.
•Define the scaling research roadmap in alignment with strategic objectives, prioritizing foundation model efficiency and large-scale training/inference.
•Drive algorithmic innovations for large-scale neural network training and inference, with empirical validation against state-of-the-art approaches.
•Optimize end-to-end ML systems for distributed training and RL, memory and compute efficiency, working with core systems and platform teams.
•Collaborate with product and engineering to translate research breakthroughs into customer-impacting capabilities in the Databricks AI platform.

Pay and Benefits

Salary: USD 270,000 - 340,000 annually

Key Requirements

•Lead a research team focused on foundational and applied AI problems, especially LLM scaling, efficiency, and systems performance.
•Deep expertise in generative AI, LLMs, distributed ML systems, model optimization, or responsible AI with a focus on scaling and efficiency for large-scale neural networks.
•Hands-on leadership with strong programming skills in Python and PyTorch for research implementation and experimentation.
•Demonstrated ability to translate research innovations into scalable product capabilities in collaboration with product and engineering teams.
•Excellent communication, leadership, and stakeholder management skills with experience influencing cross-functional roadmaps.

Experience:AILLMsDistributed ML

Skills:LeadershipCommunicationCollaborationMentoringStakeholder management

Languages:English

Tech Stack:PythonPyTorchDistributed systemsLLMsMachine learning

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn