AI Research Scientist, VLLM (vision large language models)

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

Job summary

An established industry player is seeking an AI Research Scientist to drive innovative research in multimodal reasoning and generation. This role involves leading ambitious projects, contributing to experiments, and mentoring team members in a collaborative environment. With a focus on generative AI and large language models, you will have the opportunity to influence product development and contribute to impactful publications. Join a company that is redefining social technology and shaping the future of digital connection through immersive experiences. If you are passionate about AI and eager to make a difference, this is the perfect opportunity for you.

Benefits

Bonus

Equity

Comprehensive Benefits

Qualifications

• Experience in multimodal reasoning and generation research.
• Publications in AI, machine learning, or related fields.

Responsibilities

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

Skills

Machine Learning

Computer Vision

Natural Language Processing (NLP)

Python

PyTorch

Education

Bachelor's degree in Computer Science

PhD in AI or related fields

Tools

Large AI Models

Job description

AI Research Scientist, VLLM (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. A PhD in AI, computer science, or related technical fields.
3. Publications in machine learning, computer vision, NLP, or speech.
4. Experience writing software and executing complex experiments involving large AI models and datasets.
5. 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 (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
3. Fluent in Python and PyTorch (or equivalent).

Compensation: US$177,000/year to US$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. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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.