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About the Role
As a Bayesian Methods Co-Op, you will work alongside research scientists and engineers on a focused project to advance AI systems for making better experimental decisions. Your methods will be tested against live campaigns.
Responsibilities
- Design and benchmark experiment-selection strategies that balance exploration and exploitation under realistic budgets
- Build autonomous discovery agents that propose the next experiment from surrogate models
- Develop in-context learning approaches inspired by Bayesian inference, evaluating calibration and robustness
- Run retrospective and live evaluations on active campaign data with clear baselines and metrics
- Present findings to ML and experimental teams, with the option to contribute to a publication
Requirements
- Pursuing a Master's or PhD in statistics, ML, CS, operations research, applied math, or a quantitative science
- Solid grounding in Bayesian inference and decision making, including priors and posterior predictive distributions
- Research experience in Gaussian processes, Bayesian optimization, bandits, reinforcement learning, or probabilistic modeling
- Strong Python skills with PyTorch and probabilistic libraries such as Pyro, PyMC, or BoTorch
- Comfort working with small, noisy, and heterogeneous datasets
- Clear communication with both ML and experimental collaborators
Skills
- Bayesian inference
- Decision making
- Priors
- Posterior predictive distributions
- Gaussian processes
- Bayesian optimization
- Bandits
- Reinforcement learning
- Probabilistic modeling
- Python
- PyTorch
- Pyro
- PyMC
- BoTorch
- In-context learning
- Meta-learning
- Prior-data fitted networks
- Optimization over categorical or combinatorial spaces
- Mixed-variable optimization
- Multi-objective optimization
- Batch optimization
- Bayesian experimental design
- Multimodal scientific data analysis
Location
- Remote
Work Type
- Co-Op
- Full-time
Experience Level
- Master's or PhD student
Education Level
- Master's degree
- PhD
About the Company
- Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences.
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- We believe science is the most inspiring frontier for AI.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
- LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
- Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.
Equal Opportunity
- Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.