Research Engineer Intern

1 Day ago • Upto 1 Years • Artificial Intelligence

Job Summary

Job Description

ByteDance's Doubao (Seed) team seeks a Research Engineer Intern (MS) starting in May/June 2025 for a 12-week internship. The intern will research and develop machine learning systems, focusing on heterogeneous computing architecture, management, scheduling, and monitoring. Responsibilities include cross-layer optimization of system and AI algorithms, implementing training framework features and model-specific optimizations (LLM, diffusions), and improving efficiency for large-scale distributed training. The ideal candidate possesses expertise in C/C++, CUDA, Python, and familiarity with ML algorithms and frameworks like PyTorch and Jax. Experience with GPU-based high-performance computing and distributed training frameworks is a plus.
Must have:
  • MS in relevant technical discipline
  • Familiar with ML algorithms & frameworks (PyTorch, Jax)
  • Basic understanding of GPU/ASIC
  • Expert in C/C++, CUDA, or Python
  • Develop ML systems & optimize for efficiency
Good to have:
  • GPU/RDMA HPC experience
  • Distributed training framework optimization
  • AI compiler stacks (torch.fx, XLA, MLIR)
  • Large-scale data processing
  • Cloud computing/ML system design & operation
  • In-depth CUDA programming & tuning
Perks:
  • Health insurance
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays
  • Paid sick time

Job Details

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 an internship in 2025. Internships 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. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025. 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 pursuing a MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - 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 programming 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.
Job Information
About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Why Join ByteDance

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.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $42.75- $42.75.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

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