Senior GenAI Research Scientist - AI Efficiency & Optimization

Databricks
Mountain View; San Francisco, US
On-site

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
High
Decision Impact
Industry
Role Level
Strategic

What success looks like

  • define and lead independent research agendas on foundation model efficiency
  • drive algorithmic innovations for large-scale neural network training
Typical background
MS/PhD in Computer Science or related field with strong foundations in machine learning and systems

Transferable backgrounds

Skills & requirements

Required

deep learningmodel trainingreinforcement learningdistributed trainingmemory efficiencycompute efficiency

Preferred

first-author publications at top ML/systems conferences

Stack & domain

Deep learningPost-training open source llmsMulti-agent architecturesPythonPytorchOptimizationEfficiencyDistributed trainingMemory efficiencyCompute efficiencyAiMlSystems

About the role

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science…

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