Bytedance - San Jose, CA
posted 2 months ago
ByteDance is seeking a talented individual to join our Applied Machine Learning (AML) team, which is dedicated to developing industry-leading research and development machine learning solutions. The successful candidate will be responsible for the end-to-end development of machine learning solutions, focusing on building a next-generation machine learning platform backend that emphasizes usability, accessibility, elegance, performance, and maintainability. This role involves developing advanced applied machine learning platforms and assisting client developers in optimizing the user experience of our products. Additionally, the candidate will work on improving system reliability and managing the complexities associated with scale through the seamless integration of development and operations processes. The introduction of new system architecture will also be a key responsibility, aimed at maximizing hardware performance and efficiently handling large volumes of requests. The ideal candidate will possess a Bachelor's Degree in Computer Science or a related field, along with a minimum of three years of relevant experience. Proficiency in backend technologies such as Golang, Python, or C++ is essential, as is experience in analyzing and troubleshooting distributed systems. Familiarity with commonly used database systems like MySQL and PostgreSQL, as well as construction and continuous integration tools such as Ansible, Terraform, Jenkins, or Helm Chart, is also required. Experience with cloud services like AWS, Google Cloud, or OCI is preferred. The candidate should thrive in a fast-paced environment and have a strong understanding of code optimization and routine task automation. Proficiency in at least one machine learning framework, such as TensorFlow, PyTorch, or MXNet, along with a solid background in algorithms and data structures, will be advantageous. Excellent problem-analysis and problem-solving skills are crucial, as is a willingness to seek challenges and acquire new knowledge.