Site Reliability Engineer, Applied Machine Learning Engine - 2025 Start

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

About the job

Job Description

ByteDance's Site Reliability Engineering (SRE) team of the Applied Machine Learning (AML) engine seeks a talented individual to join in 2025. As a graduate, you will have the opportunity to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. This role combines system engineering and the art of machine learning to develop and run massively distributed AI/recommendation systems around the world. You will be responsible for researching, designing, and developing computer and network software or specialized utility programs. You will also analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. The SRE team ensures that the core machine learning services at TikTok and its affiliates have the highest level of availability and creates highly automated systems and pipelines.
Must have:
  • Final year or recent graduate
  • Expertise in analyzing and troubleshooting distributed systems
  • Experience programming in Python, C/C++ or Go
  • Solid background of algorithms and data structures
Good to have:
  • Ability to design and maintain large-scale systems
  • Strong understanding of code optimizing and routine tasks automation
  • SRE experience on large scale distributed system
Responsibilities
ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa. Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo 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 Site Reliability Engineering (SRE) of AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run massively distributed AI/recommendation system around the world. On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making. SRE ensures that the very centric machine learning services at TikTok and its affiliates have the highest level of availability, as well as creating highly automated systems and pipelines. 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 - Research, design, and develop computer and network software or specialised utility programs. - 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 Software Development, Computer Science, Computer Engineering, or a related technical discipline - Expertise in analyzing and troubleshooting distributed systems. - Experience programming in at least one of the following languages: Python, C/C++ or Go. - With solid background of algorithms and data structures. Preferred qualifications: - Ability to design and maintain large-scale systems. - Strong understanding of code optimizing and routine tasks automation. - SRE experience on large scale distributed system. 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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