Research Scientist in ML Systems

2 weeks ago


San Jose, United States TikTok Full time
Responsibilities

Founded 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.

Our team was established to help realize our company vision, building a global platform for creation and communication. We are doing world-class work in machine learning, computer vision, natural language processing, speech and audio, and knowledge, and transferring our work into products, which hundreds of millions of users worldwide use. As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems. Come and join us, you will get the chance of building large-scale machine learning systems and working with the best AI system and algorithm researchers and engineers.

Responsibilities
- Research and develop our machine learning systems, including heterogeneous computing architecture, management, and monitoring
- Deploy the machine learning systems, distributed task scheduling, machine learning training, and machine learning inference
- Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, FPGA, ASIC)

Qualifications

1. Master or above degree in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies;
2. Familiar with machine learning algorithms and platforms;
3. Have basic understanding of how GPU, FPGA, ASIC works;
4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;
5. The following experiences will be a big plus:
- GPU based high performance computing, RDMA high performance network (NCCL);
- Tensorflow, Jax, PyTorch or other deep learning frameworks;
- Large scale data processing and parallel computing;
- Experiences in designing and operating large scale systems in cloud computing or machine learning.

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 rd.accommodations@bytedance.com
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