Machine Learning Engineer – Internship

🔥 17 hours ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $117k - $152k / year

⏰ Full Time

⚪️ Entry-level

🤖 Machine Learning Engineer

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Unity

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2005

🏭 Manufacturing

💼 Consulting

📣 Marketing

Manufacturing • Consulting • Marketing

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 supporting distributed training workflows using tools such as PyTorch and Ray • Work with workflow orchestration tools such as Airflow and Flyte 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 • Optimize performance and efficiency across data processing and training systems • Contribute to the evolution of the 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 data-intensive workloads • Familiarity with ML frameworks such as PyTorch and TensorFlow and/or distributed systems such as Ray and Spark • Academic or applied experience 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 machine learning infrastructure • English proficiency sufficient for professional verbal and written exchanges • Nice to have: experience with workflow orchestration systems such as Airflow or Flyte • Nice to have: exposure to large-scale data platforms, including data lakes, warehouses, and streaming systems • Nice to have: publications or research in ML systems, distributed systems, or related areas

🏖️ Benefits

• Equity awards • Participation in company incentive plans, such as annual discretionary bonuses or sales commissions • Comprehensive health, life, and disability insurance • Commute subsidy • Employee stock ownership • Competitive retirement/pension plans • Generous vacation and personal days • New-parent 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