Senior Machine Learning Engineer , Unity

• A degree (Master’s or PhD) in Computer Science, Machine Learning, Statistics, or a related field—or equivalent practical experience
• Hands-on experience with Python and ML frameworks such as PyTorch or TensorFlow
• Some experience deploying models in production or working with MLOps workflows (e.g., model serving, monitoring, versioning)
• Familiarity with common data tools and platforms
• Interest in building scalable systems and learning about infrastructure and backend engineering
• A strong analytical mindset with the ability to work with large datasets
• Good communication skills and a collaborative attitude—you enjoy learning from others and sharing your knowledge

Desirable

• Our Ads Applied Research team is at the heart of innovation in Unity’s monetization products, leveraging machine learning and optimization to improve the performance and user experience of Unity Ads
• We're looking for a Sr. Machine Learning Engineer to help build and improve the machine learning systems that power our high-scale advertising platform
• You’ll contribute to model development, platform improvements, and production deployment, working closely with product, engineering, and research teams
• This is a great opportunity to grow your skills while working on real-world ML problems at scale
• Help design and build scalable machine learning systems used for ad delivery, bidding, and user engagement
• Develop and deploy models in a production environment, with support from senior engineers and researchers
• Collaborate with cross-functional teams—including data science, product, and backend engineering—to align on model goals and integration
• Support ML experimentation, model training, and A/B testing to evaluate performance and impact
• Assist in developing infrastructure for training, versioning, deployment, and monitoring of ML models
• Contribute to platform tooling and MLOps practices, such as model validation, deployment automation, and performance tracking