AI基础设施研究科学家实习生

Research and develop AI agents that optimize training and inference for video recommendation models, including distributed execution, data pipelines, model compilation, and serving.

Investigate recursive self-improvement for video recommendation infrastructure: use profiling traces and validated experiment results to improve infrastructure performance and the agents' subsequent optimization decisions.

Build GPU kernel agents that generate and tune CUDA or Triton kernels, explore memory access and kernel fusion, and verify numerical correctness and performance.

Develop agentic trace analyzers that correlate CPU/GPU timelines, distributed traces, and runtime telemetry to diagnose bottlenecks and explain root causes in training and inference.

Build agentic profilers for both training and inference that select profiling tools, collect targeted measurements, and recommend optimizations for compute, memory, communication, and scheduling.

Design reproducible benchmarks and evaluation methods for optimization agents, measuring training throughput, inference latency and throughput, GPU utilization, memory use, and cost while preserving model quality.

Collaborate with Research Scientists, Software Engineers, and infrastructure partners to scope experiments, build research prototypes, and translate validated findings into practical improvements.

Communicate research plans, progress, and results through technical reports, reusable tools, and publications where appropriate.

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

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

Research or project experience in at least one of the following areas: machine learning systems, performance optimization, GPU computing, distributed systems, or AI agents

Research achievements demonstrated by publications, grants, fellowships, patents, or open source contributions in machine learning or systems, including venues such as MLSys, ASPLOS, OSDI, NeurIPS, ICML, ICLR, or KDD

Experience developing LLM agents that use tools, coding agents, reinforcement learning, or feedback-driven optimization loops, including evaluation of agent performance and recursive self-improvement

Experience with CUDA, Triton, GPU kernel optimization, or machine learning compilers, including memory optimization, kernel fusion, and automated tuning

Experience profiling training or inference workloads and analyzing traces using tools such as PyTorch Profiler, NVIDIA Nsight Systems, Nsight Compute, or equivalent tools

Experience with distributed training, inference serving, or recommendation infrastructure, including batching, caching, quantization, communication, or data pipeline optimization

Demonstrated software development and collaboration experience through technical internships, research projects, work experience, or contributions to open source machine learning and systems tools

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, Computer Engineering, Artificial Intelligence, Machine Learning, or a relevant technical field.