Research Engineer, RealTime AI, MSL PAR

Overview

We are seeking research engineers to join the Product and Applied Research (PAR) Real Time AI group within Meta Superintelligence Labs (MSL). As a member of the PAR Real Time AI group, you will develop Large Language Models and foundational technology to build Meta’s AI Characters products. This is a high-impact Individual Contributor (IC) role focused on LLM model post-training, developing RAG/tool calling solutions, and partnering closely with cross functional teams to build the real-world experiences.

We work directly with the product team and bring our state-of-the-art technology across FoA, and the entire Meta creator and developer ecosystem. If you’re excited about building the future of immersive real-time AI characters and passionate about making a tangible impact on billions of users, we invite you to join us.

• 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

• 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 Py Torch

• 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, Rec Sys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar

$219,000/year to $257,000/year + bonus + equity + benefits

Industry: Internet

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