Summary:
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.
Required Skills:
Visiting Scholar - Post Training & Research 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:
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 a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 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:
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
Public Compensation:
$58.65/hour to $181,000/year + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.