AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI

Facebook; Seattle (WA); On-site; USD 177,000 - 251,000; Full time

Job summary

Meta is seeking a Research Scientist for their Llama LLM Research team. The ideal candidate will have expertise in VLLMs and a strong background in AI research. Responsibilities include leading research, contributing to publications, and mentoring team members. This role offers a competitive salary and the chance to work on innovative AI technologies.

Benefits

Bonus

Equity

Benefits

Qualifications

• 5+ years experience in AI.
• Experience in machine learning, computer vision, NLP, or audio.

Responsibilities

• Lead research in multimodal reasoning and generation.
• Contribute to experiments and publications.
• Mentor team members and collaborate cross-functionally.

Skills

AI Research Scientist

VLLM

Generative AI

Python

PyTorch

Education

Bachelor's degree in Computer Science

PhD in Computer Science

Job description

**Summary:**

Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.

**Required Skills:**

AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities:

1. Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.

2. Work towards long-term ambitious research goals, while identifying intermediate milestones.

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

4. Work with a large team.

5. Contribute to publications and open-sourcing efforts.

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

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

**Minimum Qualifications:**

Minimum Qualifications:

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

9. PhD in the field of Computer Science, Artificial Intelligence, or a related field.

10. 5+ year experience in AI

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

12. Publications in areas of machine learning, computer vision, NLP, or audio

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

14. 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:

15. Direct experience in generative AI and LLM research.

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

17. Fluent in Python and PyTorch.

**Public Compensation:**

$177,000/year to $251,000/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].