Responsibilities
ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.
The Seed Foundation Machine Learning (ML) Systems team provides end-to-end (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.
Responsibilities:
- Optimizing large scale parallel training for state of the art deep learning algorithms such as large language models, multi-modality models, diffusion, reinforcement learning, etc
- Research and develop our machine learning systems, including accelerated computing architecture, management and monitoring
- Deploy the machine learning systems, distributed machine learning training and inference
- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC)
Qualifications
Minimum Qualification:
- Bachelor or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;
- At least 3 years or more working experiences;
- 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;
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)
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 ByteDanceInspiring 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.
