Research Scientist Intern, PyTorch Compiler Job at Meta (Menlo Park)

Research Scientist Intern, PyTorch Framework Performance

Our team’s mission is to make PyTorch models high-performing, deterministic and ...

Location

United States , Bellevue

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science or a related STEM field
Deep knowledge of transformer architectures, including attention, feed-forward layers, and Mixture-of-Experts (MoE) models
Strong background in ML systems research, with domain knowledge in MoE efficiency, such as routing, expert parallelism, communication overheads, and kernel-level optimizations
Hands-on experience writing GPU kernels using CUDA and/or cuteDSL
Working knowledge of quantization techniques and their impact on performance and accuracy
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Design and evaluate communication-aware, kernel-aware, and quantization-aware MoE execution strategies, combining ideas such as expert placement, routing, batching, scheduling, and precision selection
Develop and optimize GPU kernels and runtime components for MoE workloads, including fused kernels, grouped GEMMs, memory-efficient forward and backward passes
Explore quantization techniques (e.g., MXFP8, FP8) in the context of MoE, balancing accuracy, performance, and hardware efficiency
Build performance models and benchmarks to analyze compute, memory, communication, and quantization overheads across different sparsity regimes
Run experiments on single-node and multi-node GPU systems
Collaborate with the open-source community to gather feedback and iterate on the project
Contribute to PyTorch (Core, Compile, Distributed) within the scope of the project
Improve PyTorch performance in general

Research Scientist Intern, PyTorch On-Device

PyTorch is Meta’s deep learning framework for fast, flexible AI/ML experimentati...

Location

United States , Bellevue

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field
Experience in ML compilers, sparsity, quantization, kernel development, or similar as applied to on-device and highly-constrained environments
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Develop new or apply existing performance techniques to on-device AI
Explore quantization, sparsity, and model/software co-design as solutions
Apply knowledge and research to advance the state-of-the-art in on-device machine learning frameworks
Collaborate with users and developers of PyTorch and ExecuTorch to enable new use cases inside and outside Meta

Research Scientist Intern, AI & Compute Foundation - MTIA Software

The MTIA (Meta Training & Inference Accelerator) Software team is part of the AI...

Location

Canada , Toronto

Salary:

6240.00 - 10334.00 CAD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field
C/C++ programming skills
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Knowledge of Computer Architecture and Distributed systems with interest in one or more of High Performance Computing, Numerics, Performance and AI hardware including compute, networking and storage

Job Responsibility

Development of Software stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures
Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance
Analyze deep learning networks, develop & implement compiler optimization algorithms
Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc
Performance tuning and optimizations of deep learning framework & software components

Research Scientist Intern, PyTorch Distributed

Meta is seeking a Research Scientist Intern to join our Meta PyTorch Distributed...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

Research Scientist Intern, MSL Infra Kernels & Optimizations

Meta’s Meta SuperIntelligence Labs (MSL) Infra Kernels & Optimizations (K&O) tea...

Location

United Kingdom , London

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Specialized experience in one or more of the following areas: Accelerators/GPU architectures, High Performance Computing (HPC), Machine Learning Compilers, Training/Inference ML Systems, Model Compression, Communication Collectives, ML Kernels/Operator optimizations, Machine learning frameworks (e.g. PyTorch) and SW/HW co-design
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Job Responsibility

Explore, prototype and productionize highly optimized ML kernels to unlock full potential of current and future accelerators for Meta’s AI workloads. Open source SOTA implementations as applicable
Explore, co-design and optimize parallelisms, compute efficiency, distributed training/inference paradigms and algorithms to improve the scalability, efficiency and reliability of inference and large-scale training systems
Optimize inference and training communications performance at scale and investigate improvements to algorithms, tooling, and interfaces, working across multiple accelerator types and HPC collective communication libraries such as NCCL, RCCL, UCC and MPI
Innovate and co-design novel model architectures for sustained scaling and hardware efficiency during training and inference
Benchmark, analyze, model and project the performance of AI workloads against a wide range of what-if scenarios and provide early input to the design of future hardware, models and runtime, giving crucial feedback to the architecture, compiler, kernel, modeling and runtime teams
Explore, co-design and productionize model compression techniques such as Quantization, Pruning, Distillation and Sparsity to improve training and inference efficiency
Collaborate with AI & Systems Co-design to guide Meta’s AI HW strategy

Research Scientist Intern, MSL Infra Kernels & Optimizations

Meta’s Meta SuperIntelligence Labs (MSL) Infra Kernels & Optimizations (K&O) tea...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Specialized experience in one or more of the following areas: Accelerators/GPU architectures, High Performance Computing (HPC), Machine Learning Compilers, Training/Inference ML Systems, Model Compression, Communication Collectives, ML Kernels/Operator optimizations, Machine learning frameworks (e.g. PyTorch) and SW/HW co-design
Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Job Responsibility

Explore, prototype and productionize highly optimized ML kernels to unlock full potential of current and future accelerators for Meta’s AI workloads. Open source SOTA implementations as applicable
Explore, co-design and optimize parallelisms, compute efficiency, distributed training/inference paradigms and algorithms to improve the scalability, efficiency and reliability of inference and large-scale training systems
Optimize inference and training communications performance at scale and investigate improvements to algorithms, tooling, and interfaces, working across multiple accelerator types and HPC collective communication libraries such as NCCL, RCCL, UCC and MPI
Innovate and co-design novel model architectures for sustained scaling and hardware efficiency during training and inference
Benchmark, analyze, model and project the performance of AI workloads against a wide range of what-if scenarios and provide early input to the design of future hardware, models and runtime, giving crucial feedback to the architecture, compiler, kernel, modeling and runtime teams
Explore, co-design and productionize model compression techniques such as Quantization, Pruning, Distillation and Sparsity to improve training and inference efficiency
Collaborate with AI & Systems Co-design to guide Meta’s AI HW strategy

New

Associate Fraud & Claims Operations Representative

Wells Fargo is seeking a Fraud & Claims Operations Representative for one of the...

Location

Philippines , Taguig City

Salary:

Not provided

Wells Fargo

Expiration Date

Until further notice

Requirements

At least 6 months of Customer Service experience in BPO Industry.

Job Responsibility

Support fraud and claims functional area by proactively identifying opportunities to improve customer experience, and offer ideas to mitigate risks through effective authentication of customers in order to prevent fraudulent activity
Perform moderately complex customer support tasks by utilizing solid communication, and verbal and written skills to establish rapport with customer and to deescalate difficult, as well as sensitive information as a part of resolving a claim
Oversee multiple claim types, take appropriate action to decision the case using multiple systems and applications, and may contact third parties for research, as needed
Receive direction from supervisor and escalate questions or issues
Interact with immediate team and functional area on wider range of information, plus internal or external customers

Fulltime

New

Mechanic - Diesel

At Sierra Pacific Industries, we understand our greatest strength is the people ...

Location

United States , Mt Vernon

Salary:

28.00 - 35.00 USD / Hour

Sierra Pacific Industries

Expiration Date

May 09, 2026

Requirements

1 year of diesel mechanic experience or educational equivalent
Proven prior experience working the above-mentioned vehicles required
Knowledge of Cummins Insite and Davie diagnostic tools a plus
Preference given to applicants with fabrication and metal work experience
Working knowledge of both gasoline and diesel engines
All applicants must be at least age 18

Job Responsibility

Perform preventative and routine maintenance on diesel trucks, pickup trucks, log trailers, and semi-trailers
Troubleshoot and repair mechanical defects
Conduct safety inspections of vehicles and maintain maintenance records
Operate equipment as needed
Perform duties in a timely and efficient manner
Maintain work area appearance and safety
Work may consist of varied shifts, with some overtime, weekend, and holiday work during busy production times

What we offer

Up to $1,500 hiring bonus
We train and promote from within
Excellent low-cost health benefits
Retirement plan with employer-paid contributions
Paid vacation and 10 holidays
Full Health Benefits Plan (including medical, dental, and vision) with low-cost premiums
401(k) with Company Match
additional Retirement Contributions
company-paid Life Insurance

Fulltime

Research Scientist Intern, PyTorch Compiler

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 29, 2026

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Research Scientist Intern, PyTorch Compiler

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Location:United States , Menlo Park

Category:IT - Software Development

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 29, 2026

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Mechanic - Diesel

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United States , Menlo Park

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IT - Software Development

Contract Type:
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Job Posted:
January 29, 2026