Responsibilities
- Design, develop, and maintain machine learning platform functions for data processing, feature engineering, model training, and model deployment.
- Build scalable data processing and computing processes for platform stability and performance.
- Collaborate with data scientists and machine learning engineers to provide tools and technical support.
- Integrate the platform with other systems in partnership with system administrators and software engineers.
- Manage and monitor platform operations, troubleshoot issues, and recommend improvements based on emerging technologies.
Requirements
- Bachelor's or above degree in computer science, software engineering, or a related field, with 1+ years of relevant experience.
- Solid software engineering skills and proficiency in common programming languages such as Python, Java, or C++.
- Understanding of distributed computing and large-scale data processing principles, tools, and frameworks such as Hadoop and Spark.
- Understanding of cloud computing and containerization technologies such as AWS and Docker.
- Strong analytical and problem-solving abilities and enthusiasm for learning new technologies.
- Knowledge or experience in machine learning and deep learning is preferred but not required.
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. 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. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.