Senior ML Platform Engineer

ByteDance; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

ByteDance is seeking a Machine Learning Platform Engineer to design, develop, and maintain the core machine learning platform that supports code development, testing, training, model deployment, and other essential functions. You will help ensure platform stability, scalability, and performance for large-scale deep learning workloads.

The role involves collaborating with data scientists and ML engineers, working with system administrators and software engineers, and continuously evaluating new

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.

Responsibilities

• 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.

Skills

Python

Golang

Distributed computing

Hadoop

Spark

Education

Bachelor's degree in computer science / software engineering

Tools

Hadoop

Spark

Job description

ByteDance is seeking a Machine Learning Platform Engineer to design, develop, and maintain the core machine learning platform that supports code development, testing, training, model deployment, and other essential functions. You will help ensure platform stability, scalability, and performance for large-scale deep learning workloads.

The role involves collaborating with data scientists and ML engineers, working with system administrators and software engineers, and continuously evaluating new