AI Research Scientist, Vlm (vision Language Models)

Meta · Big Tech · Bellevue, WA +1

Meta is seeking an AI Research Scientist focused on Vision-Language Models (VLMs) to push the state of the art in multimodal reasoning and generation. The role involves leading research, contributing to experiments, publications, and open-sourcing efforts, with a focus on applying research to Meta's products. Requires a PhD in AI or related fields, strong publication record, and expertise in Python and PyTorch.

What you'd actually do

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.
Contribute to publications and open-sourcing efforts.
Prioritize research that can be applied to Meta's product development.

Skills

Required

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

Nice to have

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Mentor and work with AI/ML engineers to find a path from research to production
Mentor other team members.
Play a significant role in healthy cross-functional collaboration.

What the JD emphasized

multimodal reasoning
generative AI
AI Assistants
publications in machine learning, computer vision, NLP, speech
First (joint) author publications experience at peer-reviewed AI conferences

Other signals

state of the art
long-term ambitious research goals
multimodal reasoning
generative AI
AI Assistants

Read full job description

• 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.

Responsibilities

Push state of the art in multimodal generative AI Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants Mentor and work with AI/ML engineers to find a path from research to production

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience A PhD in AI, computer science, or related technical fields Publications in machine learning, computer vision, NLP, speech 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 First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) Direct experience in generative AI and LLM research Fluent in Python and PyTorch (or equivalent)