Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

The Applied Machine Learning - 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 advanced chip technology and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion, language modeling and multi-modality models. The team is also responsible for the research and development of hardware acceleration technologies for 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 are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to a start date before the end of 2024. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

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 TikTok and its affiliates' jobs globally.

Responsibility:
Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world.
The main work directions include:
·Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system.
·Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration.
·Responsible for the research and introduction of advanced technologies in machine learning systems, such as the latest hardware architecture, heterogeneous computing systems, and compiler-based optimization technologies.
·Working closely with the algorithm teams to optimize the algorithm and system jointly.

Qualifications

·PhD graduate with a background in Computer Science, related technical field or equivalent industrial research experience
·Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
·Excellent coding ability, solid foundation in data structures and basic algorithms, proficient in C/C++ or Python, winners of ACM/ICPC, NOI/IOI and other competitions are preferred.
·Familiar with at least one mainstream machine learning framework (TensorFlow/PyTorch/Jax).
·Master the principles of distributed systems, and participated in the design, development, and maintenance of large-scale distributed systems.
·Strong sense of responsibility, good learning ability, communication ability, and self-motivation.
·Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Experience:
·Prior experience in large-scale projects or papers with great influence in the field of large models.
·Familiar with NLP, CV-related algorithms, and technologies, and experienced in large model training and RL algorithms.
·Experience in one of the following fields: CUDA, RDMA, AI Infrastructure, HW/SW Co-Design, High-Performance Computing (cutlass, NCCL), ML Hardware Architecture (GPU, Accelerators, Networking), ML for System, and Distributed Storage.
·Demonstrated a related technical experience from previous internship, work experience, coding competitions, or publications
·Curiosity towards new technologies and entrepreneurship
·High levels of creativity and quick problem-solving capabilities

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

TikTok 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 earlycareers.accommodations@tiktok.com

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