Research Scientist - Generative AI

Facebook; Seattle (WA); On-site; USD 117,000 - 173,000; Full time

Job summary

An innovative tech firm is on the lookout for a Research Scientist to join their cutting-edge Large Language Model Research team. This role offers the opportunity to work on pioneering projects in generative AI and NLP, focusing on model evaluation, data processing, and responsible AI practices. As part of a globally distributed team, you'll lead impactful research, contribute to open-source efforts, and mentor fellow researchers. If you're passionate about pushing the boundaries of AI technology and making a significant impact in the field, this position is perfect for you.

Qualifications

• PhD in AI or related field with publications in machine learning.
• Experience in developing and debugging large AI models.

Responsibilities

• Lead research to advance large language model technologies.
• Mentor team members and contribute to publications.

Skills

Generative AI

Natural Language Processing (NLP)

Reinforcement Learning

Python

Large Language Models (LLMs)

Education

Bachelor's degree in Computer Science

PhD in AI or related field

Tools

Python

Job description

**Summary:**

Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.

**Required Skills:**

Research Scientist - Generative AI Responsibilities:

1. Lead, 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. Work with a large and globally distributed team.

4. Contribute to publications and open-sourcing efforts.

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

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

7. Mentor other team members. Play a significant role in healthy cross-functional collaboration.

**Minimum Qualifications:**

Minimum Qualifications:

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

9. A PhD in AI, computer science, data science, or related technical fields.

10. Experience holding an industry, faculty, or government researcher position.

11. Publications in machine learning.

12. Experience writing software and executing complex experiments involving large AI models and datasets.

13. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

14. 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.

**Preferred Qualifications:**

Preferred Qualifications:

15. Direct experience in generative AI and LLM research.

16. 2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.

17. First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

18. Experience in developing and debugging in Python.

**Public Compensation:**

$117,000/year to $173,000/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 [e-mail].