研究科学家实习生，MSL - 智能体后训练

Meta（Meta Platforms）岗位：Research Scientist Intern, MSL - Agentic Post-Training (PhD) Responsibilities

Develop novel, state-of-the-art agentic post-training methods and supporting systems, using deep learning and reinforcement learning techniques.

Work hands-on across the full LLM post-training stack, and execute, analyze, and iterate on large-scale post-training runs.

Analyze and improve the efficiency, scalability, and stability of agentic training algorithms and deployed systems.

Advance the science and technology of intelligent agents that can reason, use tools reliably, and complete long-horizon tasks.

Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.

Share research results through publications, presentations, open-source releases, or model contributions.

When applicable, contribute research that can be applied to Meta product development.

Currently has, or is in the process of obtaining, a Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a relevant technical field

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, first-authored publications at leading conferences, or previous internship projects

Research experience or publications in large language models, foundation models, post-training, agentic AI, or reasoning/coding

Experience with agentic systems, such as agent workflows, tool use, and RL environments, including core contributions to open-source libraries and frameworks for agentic LLMs or RL environments

Experience with LLM evaluation, including setting up ML experiments and analyzing their results

Demonstrated engineering experience through an internship, work experience, coding competitions, or widely used contributions to open-source repositories (e.g., GitHub)

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Take the first step toward a rewarding career at Meta.

Apply now APPLY NOW Find your role Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you. View jobs

Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

©2026 Meta.

Currently has, or is in the process of obtaining, a Ph.D.

degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a relevant technical field.

Research experience in machine learning, deep learning, or natural language processing.