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 RealTime 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.
Research Engineer, RealTime AI, MSL PAR 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
Minimum Qualifications:
- 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 Qualifications:
- 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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$88.46/hour to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the 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. Learn more about benefits at Meta.
