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Summary:

The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver exceptional user experiences across Facebook, Instagram, Threads, and more.

Required Skills:

AI Research Scientist - Language - MRS AI Responsibilities:

1. Collaborate, and execute on research that pushes forward the state of the art in large language model research

2. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results

3. Contribute to publications and open-sourcing efforts

4. Help identify long-term ambitious research goals as well as intermediate milestones

5. Prioritize research that can be applied to Meta's product development

Minimum Qualifications:

Minimum Qualifications:

6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

7. 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

8. Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields

9. Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics

10. Direct experience in generative AI and LLM research

11. 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:

12. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

13. Experience with deep learning frameworks (such as pytorch, tensorflow) and Python

14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)

15. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

16. Experience working and communicating cross functionally in a team environment

17. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

Public Compensation:

$147,000/year to $208,000/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 [email protected].