Visiting Scholar — Post Training & Research

About the role

Meta is seeking a Visiting Scholar to join our feed modeling team as a short-term employee (STE). In this role, you will conduct research and contribute to advancing machine learning capabilities, particularly in areas related to post-training, feed ranking, recommendations, and content understanding. You will collaborate closely with research scientists and engineers to explore novel approaches and translate research findings into practical applications. This is an opportunity to engage in cutting-edge AI research at Meta.

Responsibilities

• Conduct original research in machine learning, with a focus on post-training optimization, model alignment, or related AI research areas
• Design and run experiments to evaluate novel approaches and analyze results
• Publish research findings at top-tier academic venues
• Collaborate with research scientists and engineers to translate research into production-ready systems at Meta scale

Minimum Qualifications

• 3+ years of conducting research in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field in either industry or academia
• Demonstrated publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, RecSys)
• Experience with machine learning research, including designing experiments and analyzing results
• Experience with ML frameworks such as PyTorch, TensorFlow, or equivalent
• Experience with Python or another programming language used for ML research

Preferred Qualifications

• Experience applying ML to natural language understanding, computer vision, or multimodal learning problems
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with large-scale distributed training or model serving infrastructure for deep learning models
• Publication record at top-tier venues such as NeurIPS, ICML, or ICLR, with evidence of research impact (e.g., citation count, best paper awards, or invited talks)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience running and analyzing A/B experiments to measure the impact of ML model changes on product metrics
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Familiarity with ranking, recommendation, or personalization systems and the ML techniques commonly applied in those domains

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.

Pay

$58.65/hour to $181,000/year + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

Benefits

In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.