Senior AI Research Scientist

What you'll do

• Research probabilistic, causal, and simulation-based models, and methods for LLM reasoning over structured business data.
• Collaborate across teams to translate AI research into customer-facing decision-support capabilities.
• Publish and present research, collaborate with the research community, and mentor junior scientists and interns.

What they ask for

• PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field focused on AI/ML/Data Science.
• 5+ years conducting theoretical or applied research and driving research projects.
• Experience developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks.
• Deep machine-learning expertise and hands-on experience in one or more listed areas, such as probabilistic modeling, causal inference, forecasting, or reinforcement learning.

Nice to have

• First-author publications in top-tier AI conferences are ideally demonstrated.
• Experience disseminating technical ideas through open sourcing, publications, and presentations.

Pay

Mountain View $180,000 - $243,500 USD base salary

Tools

Python, Tensorflow, Pytorch

AI focus

Research into decision-focused AI, including probabilistic and causal modeling, forecasting, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, reinforcement learning, and LLM-based reasoning for business decision workflows.