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

Facebook; Redmond (WA); On-site; USD 147,000 - 208,000; Full time

Job summary

An established industry player is looking for a Research Scientist to join their innovative Llama LLM Research team. This role involves leading cutting-edge research in vision large language models, contributing to significant publications, and collaborating with a diverse team of experts. Ideal candidates will have a strong background in AI, with a focus on generative models, and a passion for applying new science to real-world applications. If you're eager to push the boundaries of AI technology and work in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in AI with publications in machine learning or computer vision.
• Experience in designing experiments and working with large AI models.

Responsibilities

• Lead research in multimodal reasoning and generation.
• Contribute to publications and mentor team members.

Skills

AI Research

Vision Large Language Models (VLLM)

Generative AI

Multimodal Reasoning

Python

PyTorch

Machine Learning

Computer Vision

Natural Language Processing (NLP)

Education

Bachelor's degree in Computer Science

PhD in Computer Science or Artificial Intelligence

Tools

Python

PyTorch

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:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. PhD in the field of Computer Science, Artificial Intelligence, or a related field.
3. 3+ year experience in AI.
4. Publications in areas of machine learning, computer vision, NLP, or audio.
5. Experience writing software and executing complex experiments involving large AI models and datasets.
6. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

1. Direct experience in generative AI and LLM research.
2. First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
3. Fluent in Python and PyTorch.

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 [e-mail].