ML Systems Intern: Build Scalable Offline Pipelines

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 104,000 - 135,000; Part time

Benefits offered by this job

Comprehensive health, life, and disa­b

Employee stock ownership

Training and development programs

Job summary

Unity Technologies SF is seeking an ML Engineer, Intern to join our Offline Infrastructure team. You will help build data pipelines and contribute to distributed training workflows that power large-scale ML models and experiments.

This role blends research-driven thinking with production-ready systems, offering exposure to end-to-end ML pipelines in a fast-paced environment. You'll work alongside experienced engineers and researchers to improve reproducibility, reliability, and performance of

Qualifications

• Bachelor's degree in CS, ML, Systems or related field.
• Strong foundation in ML systems, distributed systems, or large-scale data processing.
• Experience with Python and data-intensive workloads.

Responsibilities

• Build and maintain data pipelines that generate training datasets and support experiments.
• Contribute to infrastructure for distributed training workflows (e.g., PyTorch, Ray).
• Work with workflow orchestration tools to support multi-stage ML pipelines.

Skills

Python

ML systems

Distributed systems

Data pipelines

Education

Bachelor's degree in CS/ML/Systems

Tools

PyTorch

TensorFlow

Ray

Spark

Job description

Unity Technologies SF is seeking an ML Engineer, Intern to join our Offline Infrastructure team. You will help build data pipelines and contribute to distributed training workflows that power large-scale ML models and experiments.

This role blends research-driven thinking with production-ready systems, offering exposure to end-to-end ML pipelines in a fast-paced environment. You'll work alongside experienced engineers and researchers to improve reproducibility, reliability, and performance of