LAI
Research Scientist
San Francisco · Full-time
Sponsorship not specifiedDetected 410 days ago
PythonMachine LearningDeep LearningTensorFlowPyTorchNLPLLMsStatisticsResearch
About the role
- The Client is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models.
- Your work will contribute to the scientific foundations of understanding AI at scale.
- Your work will inform both the public leaderboard and the tools we provide to model developers.
Responsibilities
- Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions
- Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks
- Collaborate with engineers to implement and scale research findings into production systems
- Partner with model providers to shape evaluation questions and support responsible model testing
- Come help build the space where anyone can explore and help shape the future of AI.
Requirements
- Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
- Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation
Compensation
- The cash compensation for this position has not yet been finalized.
Benefits
- Competitive salary and meaningful equity
- Comprehensive healthcare coverage (medical, dental, vision)
- The opportunity to work on cutting-edge AI with a small, mission-driven team
Company info
- We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.
- Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI.
This listing is sourced directly from LAI's careers page and normalized into a canonical job model.