AI Platform Engineer Intern – Build ML Systems

Bytedance; San Jose (CA); Hybrid; USD 55,000 - 69,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Job summary

ByteDance is seeking motivated interns for a 12-week Summer 2027 program in the United States. You will join the AI Platform team to design and implement large-scale ML systems for vision and graphics, and build cross-platform applications supporting new product directions.

You will work with research scientists to develop efficient algorithms, and contribute to automation frameworks to improve engineering quality and efficiency.

Qualifications

• Currently pursuing an Undergraduate/Master's in computer science or a related technical discipline.
• Able to commit to working for 12 weeks during Summer 2027
• Strong CS fundamentals (algorithms and data structures) and problem-solving skills
• Experience with C/C++/Java/Go/Python
• Experience dealing with concurrent systems and architectures.
• Experience with standard deep learning frameworks.
• Proficiency with profiling tools and optimization techniques

Responsibilities

• Design, architect and implement large-scale machine learning systems/infrastructure/services for computer vision, computer graphics and deep learning models.
• Build cross-platform applications to explore new technologies and new product directions.
• Work closely with research scientists to develop efficient algorithms and prototypes on various platforms.
• Build automation frameworks and tools to ensure high engineering quality and efficiency.

Skills

C/C++/Java/Go/Python

Deep learning

Concurrent systems

Profiling tools

Education

Pursuing Bachelors or Masters in CS

Tools

Profiling tools

Job description

ByteDance is seeking motivated interns for a 12-week Summer 2027 program in the United States. You will join the AI Platform team to design and implement large-scale ML systems for vision and graphics, and build cross-platform applications supporting new product directions.

You will work with research scientists to develop efficient algorithms, and contribute to automation frameworks to improve engineering quality and efficiency.