Machine Learning Engineer (Model Inference), Machine Learning System - 2025 Start

1 Day ago • All levels

About the job

SummaryBy Outscal

ByteDance is seeking a Machine Learning Engineer (Model Inference) to design and develop a large-scale machine learning system. Must-have skills include strong software programming, experience with C++, Python, Go, or Java, and knowledge of data structure, algorithm design, networking, and distributed systems.
Responsibilities
About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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. About the team The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities. The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI. 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. We are looking for talented individuals to join us in 2025. 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 ByteDance. 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: 1. Responsible for the design and development of a large-scale machine learning system, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system. 2. Responsible for various sub-fields of machine learning systems, including resource scheduling, model training, model reasoning, data management, workflow orchestration, etc. 3. Understand industry and company-wide trends and innovations to help assess, improve, and develop technologies for areas such as the introduction of the latest hardware architecture, heterogeneous computing systems, and compilation optimization technologies. 4. Support the production of scalable and optimised AI/machine learning (ML) models. 5. Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models. 6. Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
Qualifications
Minimum Qualifications: - Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline. - Strong software programming capabilities, exhibits good code design and coding style. - Familiarity with at least one of the programming languages: C++, Python, Go or Java. - Pragmatic understanding one or more of these domains in data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design. Preferred Qualifications: - Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment. - Participated in ACM/ICPC, NOI/IOI or similar competition. - Experience in one of these domains: CUDA,RDMA,AI Infrastructure,HW/SW Co-Design,High Performance Computing,ML Hardware Architecture (GPU, Accelerators, Networking),ML for System,Distributed Storage. - Familiarity with NLP, CV or related algorithms or technical knowledge. - Familiarity with inference or training algorithms,tensorflow or pytorch framework. 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. 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. If you have any questions, please reach out to us at apac-earlycareers@bytedance.com.

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