Lead Multimodal AI Research Scientist

Meta; Menlo Park (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta seeks a research lead in multimodal reasoning and generation to push the state of the art. You will lead collaborative research, design experiments, write reusable code, and organize results with a large team in Menlo Park.

Ideal candidates hold a PhD or equivalent, have top-tier publications, and are fluent in Python and PyTorch. You will mentor teammates and contribute to publications and open-source efforts while aligning research with Meta product goals.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
• 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 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)

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.

Job description

Meta seeks a research lead in multimodal reasoning and generation to push the state of the art. You will lead collaborative research, design experiments, write reusable code, and organize results with a large team in Menlo Park.

Ideal candidates hold a PhD or equivalent, have top-tier publications, and are fluent in Python and PyTorch. You will mentor teammates and contribute to publications and open-source efforts while aligning research with Meta product goals.