Staff Machine Learning Engineer, Unity
$209.7-283.8k
More information about location
Game development platform
Job no longer available
Game development platform
1001+ employees
Job no longer available
$209.7-283.8k
More information about location
1001+ employees
Company mission
Democratize game development and enable everyone to create rich interactive content.
Role
Who you are
- Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, or a related field—or equivalent practical experience
- Proven track record of delivering impactful ML solutions and platform components in production, particularly in large-scale, high-throughput systems (e.g., ad tech, recommendation systems, marketplaces)
- Deep expertise in Python and machine learning frameworks/tools (e.g., PyTorch, TensorFlow), and a strong understanding of modern model architectures
- Experience with Golang for building high-performance ML systems/infrastructure is highly desirable
- Experience in building and scaling ML platforms, including aspects of MLOps from model training to optimized inference systems, with hands-on experience with NVIDIA Triton Inference Server
- Strong analytical and problem-solving skills, with the ability to formulate and validate complex hypotheses using large datasets
- Excellent communication skills, capable of articulating technical concepts to both technical and non-technical audiences
- Experience contributing to ML initiatives (adapted from "leading ML initiatives") and a passion for mentoring other engineers (adapted from "mentoring other engineers or researchers")
- Familiarity with data pipelines, robust MLOps practices (derived from "model ops"), and cloud ML deployment (e.g., model serving, monitoring)
What the job involves
- We are seeking a Staff Machine Learning Engineer to make significant contributions to the next generation of ML systems for Unity Ads.
- In this role, you will focus on building the next-generation machine learning platform that powers our high-scale ad-tech models, from training to inference.
- You will be deeply involved in the design, development, and deployment of machine learning models and the underlying platform, collaborating closely with product, engineering, and research teams to advance our ML capabilities
- Design, develop, and deploy scalable, production-grade machine learning systems and the platform components that support them, to optimize ad delivery, bidding strategies, and user engagement. (Adapted from "Architect and deploy scalable, production-grade machine learning systems")
- Contribute significantly to the technical roadmap and design of our ML platform, focusing on solutions for training and inference of high-scale ad-tech models
- Translate state-of-the-art research into practical, scalable solutions for our ML platform and models, ensuring Unity remains at the forefront of ML performance and innovation in the ad tech space
- Partner cross-functionally with data science, product, and engineering teams to align ML platform capabilities and model development with strategic business goals
- Collaborate on defining and refining requirements for data infrastructure, MLOps tooling, and processes to support advanced ML initiatives and the ML platform. (Adapted from "Define requirements for data infrastructure, tooling, and processes")
- Promote and implement best practices for model development, testing, deployment, monitoring, and overall MLOps within the new platform. (Adapted from "Promote best practices for model development, testing, deployment, and monitoring")
- Specifically focus on building and enhancing the machine learning platform capabilities for training, versioning, deploying, and serving high-scale ad-tech models, leveraging technologies such as Golang for performance-critical services and NVIDIA Triton Inference Server for optimized model serving
Our take
Unity Technologies is one of the world's leading game engines. The platform helps artists and developers in gaming to render 3D worlds in real time.
In recent years Unity has expanded its scope by bringing its technology to new industries, including car companies, and film and TV studios who are using Unity to manage production virtually. Having completed an IPO in 2020, Unity’s capabilities are also being used by companies such as Apple and Android to create better AR experiences.
In 2021, 72% of the top 1000 mobile games and 50% of games across mobile, PC and console were made with Unity. Having completed substantial post-IPO funding in 2025, the company now operates on over 20 different platforms, is active in 190+ countries and territories across the world and continues to develop its technologies and capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2019
$125m
SERIES E
Jun 2018
$145m
SERIES D
Total funding: $893.5m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matthew Bromberg
(CEO)Currently on the Board of Directors for Bumble. Previously Senior Advisor at Blackstone, was on the Board of Directors at Monzo and was the COO of Zynga.
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