AI Research Scientist, CoreML - Monetization

Meta Careers; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Meta's Monetization pillar is driving cutting-edge personalized ads research. As a Research Scientist on the RAI Sequence Learning team, you will reimagine recommender systems as generative sequence models, unlocking new personalization possibilities with LLM/NLP and related AI/ML model training.

You will lead complex technical projects end-to-end, publish in top conferences, and influence Meta's monetization strategy while collaborating across interdisciplinary teams in a fast-moving

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent
• PhD in Computer Science, ML, or relevant field
• 3+ years of industry research in LLM/NLP, CV, or related AI/ML model training
• Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
• Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
• Programming experience in Python and hands-on experience with frameworks such as PyTorch
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
• First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
• Experience in pre-training, post-training, fine-tuning models
• Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
• Willing to collaborate with others in a productive, interdisciplinary environment

Responsibilities

• Advance research on LLMs and recommender systems
• Lead complex technical projects end-to-end
• Collaborate with cross-disciplinary teams
• Publish findings at top conferences
• Contribute to Meta's monetization strategies

Skills

Python

LLM/NLP

Publications

Technical leadership

Research experience

Sequence learning

Graph learning

Causal learning

Collaboration

Education

Bachelor's degree in CS/ENG

PhD in CS/ML

Tools

PyTorch

Job description

Meta's Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects-true moonshots with the potential to redefine Meta's monetization strategies. By consistently pushing the boundaries of what's possible, we deliver breakthrough innovations that not only advance Meta's business objectives but also result in publications at top-tier conferences.

Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on user pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences-unlocking new possibilities for personalization and relevance.

As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta's monetization strategies and help define the next generation of recommender systems.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science, Machine Learning, or a relevant technical field
• 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
• Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
• Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
• Programming experience in Python and hands-on experience with frameworks such as PyTorch
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
• First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
• Experience in pre-training, post-training, fine-tuning models
• Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction)
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
• Willing to collaborate with others in a productive, interdisciplinary environment