ML Platform Engineer: Scale Deep Learning Systems

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

Benefits offered by this job

Health insurance

401(k) with company match

Paid parental leave

Disability coverage

Wellbeing benefits

Job summary

ByteDance's Applied Machine Learning (AML) team is hiring a Machine Learning Platform Engineer to build and maintain the platform that powers code development, testing, training, model deployment, and other core business functions.

You will design, implement, and optimize core platform components, collaborate with data scientists and ML engineers to meet complex needs, and ensure robust performance and smooth integration with related systems.

Qualifications

• Bachelor's degree in computer science, software engineering, or a related field.
• 3+ years of software engineering experience and proficiency in Python and Golang.
• Deep understanding of distributed computing and large-scale data processing with open-source tools.
• Strong communication and teamwork skills.
• Eagerness to learn new technologies and solve engineering challenges.
• Strong analytical and problem-solving abilities.

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

Data processing

Communication

Problem solving

Learning agility

Hadoop

Spark

Education

Bachelor's degree in computer science, software engineering, or a related field

Tools

Hadoop

Spark

Job description

ByteDance's Applied Machine Learning (AML) team is hiring a Machine Learning Platform Engineer to build and maintain the platform that powers code development, testing, training, model deployment, and other core business functions.

You will design, implement, and optimize core platform components, collaborate with data scientists and ML engineers to meet complex needs, and ensure robust performance and smooth integration with related systems.