Research Engineer - Multimodal Embodiment Trust (multiple locations) jobs in United States
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Meta · 12 hours ago

Research Engineer - Multimodal Embodiment Trust (multiple locations)

positionMenlo Park, CA
timeFull-time
remoteOnsite
senioritySenior Level
money$88.46/hr - $257/hr

Meta is seeking Research Engineers to join the Multimodal Embodiment Trust team within Meta Superintelligence Labs, dedicated to advancing the safe development and deployment of Superintelligent AI. The role involves designing and evaluating safety techniques for AI systems, creating high-quality datasets, and collaborating with cross-functional teams to integrate safety solutions into Meta’s products.

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Comp. & Benefits

Responsibilities

Design, implement, and evaluate novel, systemic, and foundational safety techniques for large language models and multimodal AI systems
Create, curate, and analyze high-quality datasets for safety system and foundations
Fine-tune and evaluate LLMs to adhere to Meta’s safety policies and evolving global standards
Contribute to applied research through risk analysis, experimentation, measurement, and and building mitigations
Work closely with researchers, engineers, and cross-functional partners to integrate safety solutions into Meta’s products and services

Qualification

LLM/NLP experienceComputer visionPython programmingPhD in relevant fieldPublications in conferencesEnd-to-end project experienceHands-on AI techniquesSafety dataset evaluationDistributed training

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in Computer Science, Machine Learning, or a relevant technical field
Experience in LLM/NLP, computer vision, or related AI/ML model training
End-to-end experience working on complex technical projects
Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
Programming experience in Python and hands-on experience with frameworks such as PyTorch

Preferred

Hands-on experience applying state-of-the-art techniques to build robust AI system solutions for safety and policy adherence
Experience developing, fine-tuning, or evaluating LLMs across multiple languages and modalities (text, image, voice, video, reasoning, etc)
Demonstrated experience to innovate in safety foundational research, including custom guideline enforcement, dynamic policy adaptation, and rapid hotfixing of model vulnerabilities
Experience designing, curating, and evaluating safety datasets, including adversarial and borderline prompt cases
Experience with distributed training of LLMs (hundreds/thousands of GPUs), scalable safety mitigations, and automation of safety tooling

Company

Meta

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Meta's mission is to build the future of human connection and the technology that makes it possible.
dateFounded in 2004
location
Menlo Park, CA, US
people-size10001+ employees
web-link
https://www.metacareers.com/

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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