Unity
5001 - 10000 employees
Founded 2005
🎮 Gaming
📚 Education
Gaming • Software Development • Education
Unity is a leading platform providing tools and services for creators to build games, apps, and immersive experiences. With high-quality graphics, multi-platform support, and AI enhancements, Unity empowers developers in video gaming and other industries like manufacturing. Unity offers services such as Unity Engine, Unity Cloud, and Unity Grow, which include real-time 3D creation, user acquisition, and game monetization. The company also provides extensive resources, community support, and professional training for creators at all levels. Through its success plans and developer resources, Unity aids in solving complex problems and bringing ideas to life for gaming and enterprise professionals.
ML Infrastructure Engineer – Early Career/Internship
Job not on LinkedIn
🔥 4 hours ago
☕ Washington – Remote
💵 $112.7k - $169k / year
👨🎓 Internship
⚪️ Entry-level
👷 Infrastructure Engineer
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Unity
5001 - 10000 employees
Founded 2005
🎮 Gaming
📚 Education
Gaming • Software Development • Education
Unity is a leading platform providing tools and services for creators to build games, apps, and immersive experiences. With high-quality graphics, multi-platform support, and AI enhancements, Unity empowers developers in video gaming and other industries like manufacturing. Unity offers services such as Unity Engine, Unity Cloud, and Unity Grow, which include real-time 3D creation, user acquisition, and game monetization. The company also provides extensive resources, community support, and professional training for creators at all levels. Through its success plans and developer resources, Unity aids in solving complex problems and bringing ideas to life for gaming and enterprise professionals.
📋 Description
• 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
• 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
• 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
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