Research Scientist Intern, PyTorch Distributed (PhD)

Meta • Menlo Park, CA • 1d ago

Summary:

Meta is seeking a Research Scientist Intern to join our Meta PyTorch Distributed Team. Our team's mission is to make PyTorch faster and easier to use in order to create and maintain a state-of-the-art machine learning framework that is used across Meta and the entire industry. The key challenges in the team are composing multiple distributed training features to support growing model complexity, jointly optimizing computation and communication to maximize hardware utilization, and automating parallelizations to boost usability.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, PyTorch Distributed (PhD) Responsibilities:

Apply relevant AI and machine learning techniques to advance the state-of-the-art in machine learning frameworks.

Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Meta.

Develop novel, accurate AI algorithms and advanced systems for large scale distributed training and inference.

Leverage graph-based and compiler-based technologies to optimize distributed training and distributed inference use-cases

Minimum Qualifications:

Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field

Experience in one or more of the following machine learning/deep learning domains: Large scale training and inference ML Systems Research, ML theory: Basic knowledge about ML models in different modalities like LLM (Large Language Models), Vision (VITS, MVITS) and Multimodal and how scale impacts performance, ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, distributed systems, on-device optimization

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

Preferred Qualifications:

Experience or knowledge on training models at scale using PyTorch/TensorFlow/JAX

Experience or knowledge on working with a distributed GPU cluster

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, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar

Experience working and communicating cross functionally in a team environment

Public Compensation:

$7,650/month to $12,134/month + benefits

Industry: Internet

Equal Opportunity:

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 stereo@types, 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.

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