Senior Machine Learning Engineer
San Francisco, CA, USA
Unity
Create and grow real-time 3D games, apps, and experiences for entertainment, film, automotive, architecture, and more. Get started with Unity today.The opportunity
At Unity, we’re building a culture centered on Empathy, Respect, and Opportunity. In our fast-paced and collaborative environment, we work on challenging problems that make a real impact on creators and users across our platform.
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.
What you'll be doing
- 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.
What we're looking for
- 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.
You might also have
- Exposure to advertising, recommendation systems, or other high-throughput ML applications.
- Interest in contributing to platform development and growing into a more senior role over time.
Additional information
- Relocation support is not available for this position.
Life at Unity
Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.
As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
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*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.
Gross pay salary$158,100—$213,900 USDTags: A/B testing Computer Science Engineering Machine Learning ML models MLOps Model training PhD Privacy Python PyTorch Research Statistics TensorFlow Testing
Perks/benefits: Career development Relocation support
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