AI Research Scientist, CoreML - Advertising Innovation

Summary:

Join Meta's Monetization pillar, where we're revolutionizing the delivery of personalized advertisements to maximize value for both users and advertisers. Our Ranking & AI (RAI) Research team is at the forefront of groundbreaking research initiatives, focusing on transformative projects that have the potential to redefine our monetization strategies. As we push the boundaries of innovation, we aim to produce notable advancements that not only drive Meta's business objectives but also receive recognition at top-tier conferences.

Inspired by the latest developments in large language models (LLMs), the RAI Sequence Learning team is redefining recommender systems. By viewing recommendation as a generative sequence modeling challenge rather than a traditional classification problem, we are unlocking new avenues for personalization and relevance based on user and ad content, alongside historical interaction data.

As a research scientist on our team, you will play a crucial role in shaping the future of technology and business at Meta, particularly as we embrace the era of artificial general intelligence (AGI). Your work will significantly influence Meta's monetization strategies and help chart the course for the next generation of recommender systems.

Key Responsibilities:

• Extract meaningful signals from both 1st-party and 3rd-party data sources.

• Advance representation learning methodologies.

• Scale solutions to efficiently handle hundreds of billions of data points.

• Drive continuous innovation across algorithms.

• Seamlessly translate research breakthroughs into production while optimizing serving costs.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.

• PhD in Computer Science, Machine Learning, or a related technical field.

• 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training.

• Experience serving as a technical lead and overseeing complex technical projects from start to finish.

• Publications in peer-reviewed conferences (such as ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL).

• Proficient in programming with Python and experienced with frameworks like Py

Torch.

• Must have work authorization in the country of employment at the time of hire and maintain ongoing authorization throughout employment.

Preferred Qualifications:

• Proven impact in research related to ranking, retrieval, or recommendation systems, demonstrated through publications, open-source contributions, or practical deployments.

• First-authored publications in peer-reviewed conferences (ILCR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL).

• Experience with pre-training, post-training, and fine-tuning models.

• Knowledge of causal learning, sequence learning, classification, neural networks, and graph learning, along with an in-depth understanding of user behavior and interactions.

• Adept at tackling complex problems and evaluating alternative solutions while considering trade-offs to determine the best path forward.

• Willingness to collaborate in a productive, interdisciplinary environment.

Compensation:

$184,000/year to $257,000/year plus bonus, equity, and benefits.

Industry:

Internet

Equal Opportunity:

Meta is an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, age, protected veteran status, disability, or other legally protected characteristics. We consider qualified applicants with criminal histories in accordance with applicable federal, state, and local law. Meta participates in the E-Verify program in specific locations, as required by law.

Meta is committed to providing reasonable accommodations for candidates with disabilities during our recruitment process. If you need assistance or accommodations due to a disability, please reach out to us.