ByteDance

Responsibilities

The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommendation, advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.

We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

What you'll do

• Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, model insights, and model deployment.
• Build efficient, scalable data processing and computing processes to ensure platform stability and performance.
• Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.
• Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.
• Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform-related issues.
• Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

Qualifications

Minimum Qualifications

• A bachelor's or above degree in computer science, software engineering, or a related field.
• At least 3 years of experience in software engineering and be proficient in developing using common programming languages (such as Python and Golang).
• In-depth understanding of distributed computing and principles and technologies of large-scale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).
• Possess good communication and teamwork skills, effective collaboration with team members from different technical backgrounds.
• Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges.
• Strong analytical and problem-solving skills, ability to quickly understand and solve engineering problems.

Preferred Qualifications

• A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.