Research Scientist - Meta Recommendation Systems (PhD)

Meta; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking talented Research Scientists for the MRS Core Modeling team to advance AI/ML methods for recommendations across mobile and web platforms. You will design, implement, and deploy novel models while collaborating with product teams to drive user-centric improvements.

The role emphasizes staying current with ML research, publishing findings, and translating insights into scalable systems that impact millions of users globally.

Qualifications

• Bachelor's degree completed prior to joining Meta
• PhD in Computer Science/Artificial Intelligence or related field
• Experience developing software and executing complex experiments with large ML/AI models and datasets
• Direct experience in AI/ML/NLP research
• Familiarity with DL frameworks such as PyTorch or TensorFlow
• Must obtain work authorization in the country of employment
• Industry experience in Recommendations, Ranking, and LLM-related topics
• Interest in applying research findings to product needs
• Experience bringing ML-based products from research to production
• Experience with interdisciplinary/cross-collaboration
• High-impact publications at ML/AI conferences and journals (e.g., ICML, NeurIPS)

Responsibilities

• Design, develop, and implement AI/ML solutions to improve recommendation models
• Stay up-to-date with the latest research and apply discoveries to drive innovation
• Collaborate with cross-functional teams to integrate AI/ML solutions into products
• Publish research papers and contribute to innovative products
• Work on cutting-edge projects applying AI/ML to rich speech & language systems

Skills

AI/ML research

Cross-functional collaboration

Large ML models

NLP research

Publications in ML/AI

Production-ready ML systems

Deep learning frameworks

Experimentation with ML datasets

Education

Bachelor's degree in CS/related field

PhD in CS/AI/related field

Tools

PyTorch

TensorFlow

Job description

About

We're seeking talented Research Scientists to join the Meta Recommendation Systems (MRS) Core Modeling team in developing and deploying advancements in machine learning models and recommendation systems that can significantly enhance the recommendation product's experience. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally.

Responsibilities

• Design, develop, and implement novel AI/ML solutions to improve the accuracy, relevance, and overall effectiveness of our recommendation models
• Stay up-to-date with the latest research and developments in the field and apply new scientific discoveries to drive innovation
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services
• Publish research papers and contribute to the development of innovative products that positively impact millions of users worldwide
• Work on cutting-edge projects and apply relevant AI and machine learning techniques to build intelligent rich speech & language systems

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 Computer Science, Artificial Intelligence, or related technical fields
• Experience developing software and executing complex experiments involving large ML/AI models and datasets
• Direct experience in AI/ML/NLP research
• Familiarity with one or more deep learning frameworks (e.g., PyTorch, TensorFlow)
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Experience working and communicating cross-functionally in a team environment
• Industry experience working on Recommendations, Ranking, and LLM-related topics
• Interest in taking new research findings in this area and implementing them towards product needs
• Experience bringing machine learning-based products from research to production
• Experience with interdisciplinary and/or cross-collaboration
• High-impact publications at leading ML/AI conferences and journals (e.g., ICML, ICLR, KDD, NeurIPS)