Research Scientist, Machine Learning
Meta, Sunnyvale, California
About the job
Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta.
Responsibilities
Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers