Backend Engineer (Large Model Platform), Machine Learning System - 2025 Start

2 Months ago • All levels • Research & Development • Undisclosed

Job Summary

Job Description

The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry. 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. This role is 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. You will cover various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration. You will also be responsible for analyzing user needs and developing software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. You will update software, enhance existing software capabilities, and develop and direct software testing and validation procedures. Finally, you will work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.
Must have:
  • Final year or recent graduate in Computer Science, Computer Engineering or related fields
  • Excellent coding skills, solid foundation in data structures and basic algorithms
  • Proficient in at least one of the mainstream server-side programming languages such as Golang / Python / Java
  • Familiar with Linux development environment
Good to have:
  • Deep understanding of database technologies such as MySQL / PostgreSQL / MongoDB, middleware technologies such as Redis / Kafka
  • Strong understanding of the principles of distributed systems, and have participated in the design, development, and maintenance of large-scale distributed systems with good knowledge of Kubernetes, Prometheus, Containerisation, Continuous Integration & Continuous Distribution
  • Strong sense of responsibility, good learning ability, communication ability, and self-motivation
  • Experience in the machine learning & cloud computing & data pipeline domain

Job Details

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: - 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; - Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis; - Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures; - Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;
Qualifications
Minimum Qualifications: - Final year or recent graduate with a background in Computer Science, Computer Engineering or related fields; - Excellent coding skills, solid foundation in data structures and basic algorithms; - Proficient in at least one of the mainstream server-side programming languages such as Golang / Python / Java; - Familiar with Linux development environment; Preferred Qualifications: - Deep understanding of database technologies such as MySQL / PostgreSQL / MongoDB, middleware technologies such as Redis / Kafka; - Preferred to have a strong understanding of the principles of distributed systems, and have participated in the design, development, and maintenance of large-scale distributed systems with good knowledge of Kubernetes, Prometheus, Containerisation, Continuous Integration & Continuous Distribution; - Strong sense of responsibility, good learning ability, communication ability, and self-motivation; - Experience in the machine learning & cloud computing & data pipeline domain is a plus; 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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