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Machine Learning Engineer Intern
Job in
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-10-20
Listing for:
Unity
Apprenticeship/Internship
position Listed on 2026-10-20
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Data Engineering
Job Description & How to Apply Below
- We’re looking for a Machine Learning Engineer,Intern to join our Offline Infrastructure team
- This is an ideal role for people who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems
- You’ll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training
- Working closely with experienced engineers and researchers, you’ll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient
- This role offers the opportunity to bridge research and production—translating advanced ideas into systems that operate at scale
- 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
- Comprehensive health, life and disability insurance
- Employee stock ownership
- Generous vacation and personal days
- Office food and free snacks, lots of health options!
- Employee Resource Groups
- Training and development programs
- Commute subsidy
- Competitive retirement/pension plans
- Paid leave for new parents
- Mental Health and Wellbeing programs and support
- Global Employee Assistance Program
- Volunteering and donation matching program
- 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)
- Strong problem-solving skills and ability to translate research ideas into practical systems
- Experience (academic or applied) with data pipelines, model training workflows or large datasets
- Interest in building scalable, reliable infrastructure for machine learning
- Experience with workflow orchestration systems (Airflow, Flyte, etc.)
- Publications or research in ML systems, distributed systems, or related areas
- Familiarity with ML frameworks (e.g., PyTorch, Tensor Flow) and/or distributed systems (e.g., Ray, Spark)
- Experience with Python and working with data-intensive workloads
- Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
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