Research Scientist Intern, Adaptive Experimentation (PhD)

This internship is based in Menlo Park, CA, with additional locations in New York, NY.

Compensation:

$7,650/month to $12,134/month + benefits

Responsibilities:

• Develop and apply new methods for adaptive experimentation, including Bayesian optimization.
• Synthesize insights from academic literature to enhance Meta’s products.
• Collaborate with scientists and engineers across teams.
• Communicate technical topics effectively to diverse audiences.

Minimum Qualifications:

• Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or related fields.
• Research experience in Bayesian optimization and probabilistic modeling.
• Proficient in Python and PyTorch.
• Strong analytical and communication skills.

Preferred Qualifications:

• Track record of significant research contributions, such as publications or patents.
• Experience with open-source projects and academic dissemination.
• Knowledge of transformers and diffusion model architectures.