ML Platform Engineer — Scale & Deploy Large DL Models

ByteDance; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Holidays and PTO

Job summary

ByteDance is seeking an experienced Machine Learning Platform Engineer to build and maintain our ML platform supporting code development, testing, training, and deployment. The role emphasizes scalable data processing, platform stability, and collaboration with data scientists and engineers.

The Applied Machine Learning team seeks candidates passionate about engineering challenges and eager to contribute to a leading tech company’s ML infrastructure.

Qualifications

• Bachelor's degree in computer science, software engineering, or related field.
• At least 3 years of software engineering experience with Python and Golang.
• Strong understanding of distributed computing and big data processing.
• Good communication and teamwork skills.
• Eager to learn new technologies and solve complex problems.
• Analytical problem-solving abilities.

Responsibilities

• Design, develop, and maintain core functions of the ML platform, including data processing, feature engineering, model training, and deployment.
• Build scalable data processing and computing processes to ensure platform stability and performance.
• Collaborate with data scientists and ML engineers to understand requirements and provide tool support.
• Work with system admins and software engineers for smooth platform integration.
• Manage and monitor operation of the ML platform and troubleshoot issues.
• Track and evaluate emerging technologies and propose platform improvements.

Skills

Python

Golang

Distributed computing

Data processing

Team collaboration

Problem solving

Education

Bachelor's degree in CS/SE

Tools

Hadoop

Spark

Job description

ByteDance is seeking an experienced Machine Learning Platform Engineer to build and maintain our ML platform supporting code development, testing, training, and deployment. The role emphasizes scalable data processing, platform stability, and collaboration with data scientists and engineers.

The Applied Machine Learning team seeks candidates passionate about engineering challenges and eager to contribute to a leading tech company’s ML infrastructure.