AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI
5 Months ago • 3 Years + • $147,000 PA - $208,000 PA
Research Development
Job Description
Meta's Llama LLM Research team seeks a Research Scientist specializing in Vision Large Language Models (VLLMs). Responsibilities include leading and collaborating on cutting-edge research in multimodal reasoning and generation, contributing to experiments (design, coding, evaluation, result organization), working with a large team, publishing research, mentoring colleagues, and fostering cross-functional collaboration. The ideal candidate possesses expertise in vision encoders, data filtering/curation, RLHF, responsible AI, and model controllability, with a focus on applying research to Meta's product development. The role requires experience in generative AI, LLMs, and a strong publication record.
Good To Have:
- Generative AI and LLM research experience
- First-author publications at top AI conferences
- Experience with RLHF and responsible AI
Must Have:
- PhD in CS/AI or related field
- 3+ years AI experience
- Publications in ML/CV/NLP/audio
- Experience with large AI models and datasets
- Software proficiency (Python, PyTorch)
- Lead research on VLLMs
Perks:
- Bonus
- Equity
- Benefits
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.
AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities
- Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Work with a large team.
- Contribute to publications and open-sourcing efforts.
- Mentor other team members. Play a significant role in healthy cross-functional collaboration.
- Prioritize research that can be applied to Meta's product development.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in the field of Computer Science, Artificial Intelligence, or a related field.
- 3+ year experience in AI
- Publications in areas of machine learning, computer vision, NLP, or audio
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
- Direct experience in generative AI and LLM research.
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Fluent in Python and PyTorch.
For those who live in or expect to work from California if hired for this position, please click for additional information.
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.
$147,000/year to $208,000/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. In addition to base compensation, Meta offers benefits. Learn more about at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity 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 .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the .
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