Research Scientist for Gemini Horizon

Highlights

• Deliver step-change improvements to Gemini through ambitious research.
• Improve Gemini's native context and memory without relying on external harness.
• Advance long-horizon task execution for RSI and computer use at scale.

What they offer

• 15% bonus target
• equity
• benefits

Ideal candidate

Applied ML researcher with 2+ years in industry who loves rigorous experimentation and pushing Gemini's reasoning, memory and orchestration to tackle complex long-horizon tasks.

Requirements

• 2 years of experience with machine learning algorithms and tools, or applied ML (e.g., LLMs, generative AI, NLP, recommendations)
• 2 years of experience with Generative AI, AI algorithms, and system design
• 2 years of industry experience in applied machine learning/machine learning research
• 2 years of experience with developing machine learning infrastructure, distributed systems or networks
• 2 years of experience in an applied research setting
• Experience coding in Python or C++
• Master's degree or PhD in Computer Engineering/Machine Learning or equivalent (preferred)
• Software engineering skills in Python and deep experience with modern ML frameworks (e.g., JAX, PyTorch) (preferred)