Meta · 14 hours ago
Research Engineer, RealTime AI, MSL PAR
Seattle, WA
Full-time
Onsite
Mid, Senior Level
2+ years expMeta builds technologies that help people connect, and they are seeking research engineers to join the Product and Applied Research Real Time AI group. The role involves developing Large Language Models and foundational technology to build Meta’s AI Characters products, with a focus on model post-training and collaboration with cross-functional teams.
Computer Software
Responsibilities
Collaborate with cross-functional teams to develop Meta’s AI Characters products
Lead the development of new algorithms and systems for LLM post-training, evaluation and efficiency
Support creative data sourcing, high-quality post-training data curation, and scale and optimize data pipelines for large language models (LLMs)
Develop and integrate models, orchestrations and RAGs in production
Analyze and interpret experimental results, iterate on model architectures, and drive continuous improvement
Lead complex technical projects end-to-end
Qualification
Required
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of industry experience in LLM/NLP, audio, or related AI/ML models
Experience as a formal technical lead, leading major technical initiatives with cross functional partners to impact, and/or influencing strategy across multiple teams
Skilled in model training, data, or inference & efficiency for LLMs
Experience building products/systems based on machine learning, reinforcement learning and/or deep learning methods
Programming experience in Python and hands-on experience with frameworks like PyTorch
Preferred
Experience with Reinforcement Learning from Human Feedback, reward modeling, or other LLM post-training techniques
Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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