ML Infrastructure Engineer – Early Career/Internship

Unity

Machine Learning Engineer focusing on data pipelines for ML models at Unity. Collaborating with teams to support experimentation and system reliability in the data infrastructure space.

Posted 6/11/2026internshipRemote • Washington • 🇺🇸 United StatesEntry Level💰 $112,700 - $169,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowDistributed SystemsPythonPyTorchRaySparkTensorflow

About the role

Key responsibilities & impact

Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
Improve reproducibility and reliability through dataset validation, monitoring, and testing
Partner with ML engineers to support experimentation and model iteration
Help optimize performance and efficiency across data processing and training systems
Contribute to the evolution of our offline ML platform architecture as it scales

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Machine Learning, Systems, or a related field
Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)
Experience with Python and working with data-intensive workloads
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
Experience (academic or applied) with data pipelines, model training workflows, or large datasets
Strong problem-solving skills and ability to translate research ideas into practical systems
Interest in building scalable, reliable infrastructure for machine learning
Nice to Have
Experience with workflow orchestration systems (Airflow, Flyte, etc.)
Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
Publications or research in ML systems, distributed systems, or related areas

Benefits

Comp & perks

Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
Support for new parents through leave and family-care programs
Office food snacks
Mental Health and Wellbeing programs and support
Employee Resource Groups
Global Employee Assistance Program
Training and development programs
Volunteering and donation matching program

ATS Keywords

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Hard Skills & Tools

Pythonmachine learningdata pipelinesdistributed systemslarge-scale data processingPyTorchRayTensorFlowAirflowSpark

Soft Skills

problem-solvingcollaborationcommunicationadaptabilitycritical thinking

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Machine LearningBachelor’s degree in Systems