AI Research Engineer

Responsibilities

Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases.
Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development.

Requirements

Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams
Impressive engineering background (PhD in ML not required)
Experience working in AI/ML environments
Experience managing data pipelines and versioning

Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Skills

Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams
Impressive engineering background (Phased in ML not required)
Experience working in AI/ML environments
Experience managing data pipelines and versioning

Benefits

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.

Pay

$183,997/year to $257,000/year + bonus + equity + benefits

Schedule

Individual compensation is determined by skills, qualifications, experience, and location.