Backend Engineer (Model Inference) Intern - 2025 Start

8 Months ago • Upto 1 Years • Backend Development

Job Summary

Job Description

This internship at ByteDance focuses on developing and optimizing backend services for machine learning systems. You'll work with technologies like Go, Python, Java, and C++ to design and build scalable, secure systems for model inference. Strong programming skills, understanding of data structures, algorithms, and distributed systems are essential.
Must have:
  • Strong programming
  • Data structure
  • Algorithm design
  • Distributed systems
Good to have:
  • Agile development
  • Product ownership
  • Distributed system
  • Team collaboration
Perks:
  • Industry exposure
  • Hands-on experience

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 for an internship in 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at 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. Successful candidates must be able to commit to at least 3 months long internship period. Successful candidates must be able to commit to either of the following Internships - From January to June - From May to August (Summer) Responsibilities: - Architect and develop efficient, highly scalable and secured services for machine learning system - Optimise backend systems and services for machine learning systems, computational efficiency and scalability; - Analyse business and technical requirements carefully to solve challenging problems - Participate in design reviews and code reviews - Collaborate with fellow engineers, product managers, and business owners in the team to ensure timely delivery of business requirements
Qualifications
Minimum Qualifications: - Undergraduate, or Postgraduate who is currently pursuing a degree/master 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: Go, Python, Java or C++; - Pragmatic understanding of data structure, algorithm design and analysis, networking, data security, distributed system, and highly scalable systems design. Preferred Qualifications: - Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver. - Deeply passionate about software coding/development and building distributed system. - Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment. 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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About The Company

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.

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