Research Scientist Intern, Muse RL and Agents Team (PhD)

Meta; Paris; On-site; EUR 12,000 - 21,000; Full time

Job summary

Meta is seeking Research Interns to join the Meta Superintelligence Lab in one of the post-training modeling teams, focusing on Agentic AI, Muse and personal superintelligence. Internships run 12 to 24 weeks with flexible start dates, offering opportunities to develop novel algorithms and prototype features at scale.

Responsibilities include researching agentic LLMs, RL environments, and post-training techniques; collaborating with cross-functional teams; and disseminating findings through

Qualifications

• Must have work authorization in the country of employment.
• Experience with Python for ML projects.
• Experience building systems based on ML/deep learning methods.
• Preferred: grants, fellowships, patents, and first-authored publications at top venues.

Responsibilities

• Develop novel state-of-the-art agentic AI algorithms and systems.
• Research agentic LLMs, RL environments, post-training, and related topics.
• Analyze and improve efficiency, scalability, and stability of agentic AI systems.
• Advance science and technology of intelligent, agentic machines with reasoning and tool use.
• Collaborate with researchers and cross-functional partners; communicate plans, progress and results.
• Publish results and contribute to open source where applicable.

Skills

Python

Machine Learning

Deep Learning

Agentic AI

Education

PhD

Tools

Open source libraries

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join our Meta Superintelligence Lab in one of the post-training modeling teams, with a focus on Agentic AI, Muse and personal superintelligence. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies that help interact with and understand our world. We are seeking individuals passionate about agentic AI, including but not limited to LLM agentic tool use, personalized AI agents, LLM agentic post-training, LLM reasoning/coding, and related areas. Our interns have an opportunity to make core algorithmic advances, prototype agentic features for Meta products, and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, Muse RL and Agents Team (PhD) Responsibilities:Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques.Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics.Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems.Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions.Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.Disseminate research results through publications, presentations, and open source contributions.When applicable, contribute to research that can be applied to Meta product development.Minimum Qualifications:Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employmentExperience with PythonExperience building systems based on machine learning and/or deep learning methodsPreferred Qualifications: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, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, or similarExperience working and communicating cross functionally in a team environmentExperience in advancing agentic AI techniques, including core contributions to open source libraries and frameworks in agentic LLMs or RL environmentsPublications or experience in agentic AI, LLMs, reinforcement learning, reasoning/coding, optimization, computer science, statistics, applied mathematics, or data scienceExperience solving analytical problems using quantitative approachesExperience setting up ML experiments and analyzing their resultsExperience manipulating and analyzing complex, large scale, high-dimensionality data from varying sourcesExperience in utilizing theoretical and empirical research to solve problemsExperience with deep learning frameworksAbout 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.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.