Research Scientist, Machine Learning

Responsibilities

• check_circle Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures
• check_circle Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
• check_circle Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
• check_circle Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
• check_circle Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
• check_circle Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
• check_circle Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
• check_circle Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
• check_circle Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers

Basic qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
• 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
• Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations

Preferred qualifications

• Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
• Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
• Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
• Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences

About the company