Internship Research Assistant Machine Learning Jobs

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
Minimum 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 Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.