Student Researcher (Doubao (Seed) - Machine Learning System) - 2025 Start (PhD)

ByteDance; Seattle (WA); On-site; USD 80,000 - 120,000; Full time

Job summary

ByteDance seeks a Student Researcher in Machine Learning for 2025. This position offers hands-on experience in pioneering AI research, requiring PhD students. The role includes developing cutting-edge machine learning systems and requires strong programming skills, especially in C/C++ and Python, to contribute to high-performance computations.

Qualifications

• PhD candidate in distributed computing, familiar with recent advances.
• Basic understanding of GPU/ASIC hardware.
• Expertise in Linux programming using C/C++, CUDA, and Python.

Responsibilities

• Research and develop machine learning systems with cross-layer optimizations.
• Manage hardware configurations for efficient processing.
• Implement training framework features and optimizations.

Skills

Machine Learning Algorithms

Parallel Computing

Programming Languages (C/C++, Python)

Education

Currently enrolled in a PhD program

Tools

PyTorch

Jax

Job description

Student Researcher (Doubao (Seed) - Machine Learning System) - 2025 Start (PhD)

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Student Researcher (Doubao (Seed) - Machine Learning System) - 2025 Start (PhD)

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Responsibilities

Established in 2023, the ByteDance Seed team is dedicated to discovering new approaches to general intelligence, and pushing the boundaries of AI. Our research spans large language models, speech, vision, world models, AI infrastructure, next-generation interfaces and more.

Responsibilities

Established in 2023, the ByteDance Seed team is dedicated to discovering new approaches to general intelligence, and pushing the boundaries of AI. Our research spans large language models, speech, vision, world models, AI infrastructure, next-generation interfaces and more.

With a long-term vision and determination in AI, the ByteDance Seed team remains committed to foundational research. We aim to become a world-class AI research team that drives real technological progress and delivers societal benefits.

With labs across China, Singapore, and the U.S., our team has already released industry-leading general-purpose large models and advanced multimodal capabilities, powering over 50 real-world applications — including Doubao, Coze, and Jimeng.

We are looking for talented individuals to join us for a Student Researcher opportunity in 2025. Student Researcher opportunities at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

The Student Researcher position provides unique opportunities that go beyond the constraints of our standard internship program, allowing for flexibility in duration, time commitment, and location of work.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring.
• Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC).
• Implement both general purpose training framework features and model specific optimizations (e.g. LLM, diffusions).
• Improve efficiency and stability for extremely large scale distributed training jobs.
  
  

Qualifications

Minimum Qualifications

• Currently in PhD program in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies.
• Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.
• Have basic understanding of how GPU and/or ASIC works.
• Expert in at least one or two programmingf languages in Linux environment: C/C++, CUDA, Python.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  
  

Preferred Qualifications

The following experiences will be a big plus:

• GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs).
• Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD.
• AI compiler stacks such as torch.fx, XLA and MLIR.
• Large scale data processing and parallel computing.
• Experiences in designing and operating large scale systems in cloud computing or machine learning.
• Experiences in in-depth CUDA programming and performance tuning (cutlass, triton).
  
  

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Seniority level

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