Summary:
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.
Required Skills:
Research Scientist - Meta Recommendation Systems (PhD) 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:
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
Preferred Qualifications:
Preferred Qualifications:
- 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)
Public Compensation:
$122,000/year to $181,000/year + bonus + equity + 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.