ML Platform Engineer (Graduate)

ByteDance; San Jose (CA); On-site; USD 128,000 - 256,000; Full time

Job summary

ByteDance's Applied Machine Learning team in San Jose is looking for a machine learning engineer to advance the AML platform and the end-to-end ML lifecycle from ideation to deployment.

The role involves developing and optimizing the AML platform, understanding the needs of algorithm engineers, designing solutions across the full model lifecycle, and boosting iteration efficiency for teams building state-of-the-art recommendations, ads, and search features.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Strong fundamentals in systems programming, data structures, algorithms, and system design.
• Familiarity with Linux development environment; eager to tackle challenges; ML algorithms or large-scale distributed systems experience is a plus.

Responsibilities

• Develop and optimize the AML Machine Learning Platform, focusing on AI developer experience.
• Understand the business needs of algorithm engineers and design solutions across the full model lifecycle.
• Improve iteration efficiency for algorithm engineers across development, training, evaluation, and deployment.

Skills

ML algorithms

Distributed systems

Linux development

Data structures

Algorithms

System design

Machine learning theory

Education

Bachelor's degree in Computer Science

Job description

ByteDance's Applied Machine Learning team in San Jose is looking for a machine learning engineer to advance the AML platform and the end-to-end ML lifecycle from ideation to deployment.

The role involves developing and optimizing the AML platform, understanding the needs of algorithm engineers, designing solutions across the full model lifecycle, and boosting iteration efficiency for teams building state-of-the-art recommendations, ads, and search features.