AI Research Scientist, VLM (vision language models)
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Get Started FreeAbout interviewing at Meta
Recruiter screen, a technical screen (60-minute asynchronous challenge or paired live coding), a short culture-fit questionnaire, then a virtual onsite of about four rounds: fast-paced coding with multiple problems per round, system design scoped to level, a lighter behavioral, and an AI-enabled coding round assessing how you work with a coding assistant.
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About
• 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
Minimum 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)