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

Meta; Menlo Park (CA); On-site; USD 177,000 - 251,000; Full time

Job summary

Join a forward-thinking company as an AI Research Scientist, where you will push the boundaries of multimodal reasoning and generative AI. This role involves leading innovative research, contributing to groundbreaking publications, and mentoring a talented team. As a part of a dynamic environment, you'll have the opportunity to work on large language models and make impactful contributions to product development. If you are passionate about AI and eager to shape the future of technology, this is the perfect opportunity for you.

Benefits

Bonus

Equity

Comprehensive benefits package

Qualifications

• 5+ years of experience in AI with strong programming skills.
• PhD in Computer Science or related field required.

Responsibilities

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

Skills

Generative AI

Vision Encoders

Data Filtering/Curation

Reinforcement Learning from Human Feedback (RLHF)

Model Controllability

Python

PyTorch

Education

Bachelor's degree in Computer Science

PhD in Computer Science or AI

Tools

Large AI Models

Job description

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

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.

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 and 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. 5+ years of experience in AI.
4. Experience holding an industry, faculty, or government researcher position.
5. Publications in areas of machine learning, computer vision, NLP, or audio.
6. Experience writing software and executing complex experiments involving large AI models and datasets.
7. 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.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Compensation: $177,000/year to $251,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to [e-mail].