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SalaryFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us..
Team Introduction
The AML Machine Learning Systems team provides E2E Machine Learning experience and Machine Learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.
We are looking for talented individuals to join us for an internship in 2024. 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 2024. Successful candidates must be able to commit to one of the following summer internship cycles below:
1.May 20, 2024 to August 9, 2024
2.May 28, 2024 to August 16, 2024
3.June 10, 2024 to August 30, 2024
4.June 17, 2024 to September 6, 2024
5.June 24, 2024 to September 13, 2024
We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).
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.
- 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 programming languages in Linux environment: C/C++, CUDA, Python.
- Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship.
- The following experiences will be a big plus:
2. Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD.
3. AI compiler stacks such as torch.fx, XLA and MLIR.
4. Large scale data processing and parallel computing.
5. Experiences in designing and operating large scale systems in cloud computing or Machine Learning.
6. Experiences in in-depth CUDA programming and performance tuning (cutlass, triton).
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.
ByteDance Inc. 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 https://shorturl.at/cdpT2
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.
