Unity
Overview
The opportunity at Unity: we’re building a culture of collaboration and innovation in a fast-paced environment. Our Ads Applied Research team shapes the future of Unity’s monetization products through machine learning and optimization. We are seeking a Senior Machine Learning Engineer to contribute to the next generation of ML systems for Unity Ads. You will focus on building the next-generation ML platform that powers high-scale ad-tech models from training to inference, including design, development, and deployment of ML models and the underlying platform. You will collaborate with product, engineering, and research teams to advance ML capabilities. What you'll be doing
Design, develop, and deploy scalable, production-grade ML systems and platform components to optimize ad delivery, bidding strategies, and user engagement. Contribute to the technical roadmap and design of the ML platform, focusing on training and inference for high-scale ad-tech models. Translate state-of-the-art research into practical, scalable solutions for the ML platform and models to keep Unity at the forefront of ML performance in ad tech. Partner cross-functionally with data science, product, and engineering teams to align ML platform capabilities with strategic business goals. Collaborate on data infrastructure, MLOps tooling, and processes to support advanced ML initiatives and the ML platform. Promote and implement best practices for model development, testing, deployment, monitoring, and MLOps within the platform. Focus on building and enhancing ML platform capabilities for training, versioning, deploying, and serving high-scale ad-tech models, using technologies such as Golang for performance-critical services and NVIDIA Triton Inference Server for optimized model serving. What we're looking for
Background in Computer Science, Machine Learning, Statistics or a related field. Extensive hands-on experience designing, deploying, and maintaining ML systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes. Strong track record building ML platforms and infrastructure, including MLOps best practices — from data pipelines and model training workflows to serving and observability — with hands-on experience using NVIDIA Triton Inference Server. Expertise in Python and familiarity with production-grade ML frameworks (such as PyTorch or TensorFlow), as well as modern ML architectures (transformer-based models, embeddings, retrieval-augmented pipelines). Familiarity with robust MLOps practices, data pipelines, and cloud ML deployment, including model serving and monitoring. Excellent communication and collaboration skills, with the ability to articulate technical concepts to both technical and non-technical audiences. You might also have
Experience with Golang for building high-performance ML systems/infrastructure. A forward-thinking mindset, always seeking opportunities to innovate and improve processes. A passion for mentoring and supporting teammates, fostering a culture of collaboration and shared success. Experience in ad tech or other performance-critical domains like recommender systems or real-time personalization. Additional information
International relocation support is not available for this position. Work visa/immigration sponsorship is not available for this position. Life at Unity
Unity is the leading platform to create and grow games and interactive experiences. Creators—from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more—use Unity to bring imaginations to life across multiple platforms, from mobile and PC to console and 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 requires accommodations for a comfortable interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. This position requires a sufficient knowledge of English for professional verbal and written exchanges. Headhunters and recruitment agencies may not submit resumes through this site or to managers. Unity does not accept unsolicited headhunter resumes and will not pay fees to third-party agencies without a signed agreement with Unity. Your privacy is important. Please review our Prospect Privacy Policy and Applicant Privacy Policy. If you have concerns about privacy, please contact DPO at Unity. #SEN #LI-AR1 *Note: Some locations require disclosure of the base salary range. The actual salary may differ based on location, experience, and other factors. Gross pay salary $165,600 — $315,000 USD
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The opportunity at Unity: we’re building a culture of collaboration and innovation in a fast-paced environment. Our Ads Applied Research team shapes the future of Unity’s monetization products through machine learning and optimization. We are seeking a Senior Machine Learning Engineer to contribute to the next generation of ML systems for Unity Ads. You will focus on building the next-generation ML platform that powers high-scale ad-tech models from training to inference, including design, development, and deployment of ML models and the underlying platform. You will collaborate with product, engineering, and research teams to advance ML capabilities. What you'll be doing
Design, develop, and deploy scalable, production-grade ML systems and platform components to optimize ad delivery, bidding strategies, and user engagement. Contribute to the technical roadmap and design of the ML platform, focusing on training and inference for high-scale ad-tech models. Translate state-of-the-art research into practical, scalable solutions for the ML platform and models to keep Unity at the forefront of ML performance in ad tech. Partner cross-functionally with data science, product, and engineering teams to align ML platform capabilities with strategic business goals. Collaborate on data infrastructure, MLOps tooling, and processes to support advanced ML initiatives and the ML platform. Promote and implement best practices for model development, testing, deployment, monitoring, and MLOps within the platform. Focus on building and enhancing ML platform capabilities for training, versioning, deploying, and serving high-scale ad-tech models, using technologies such as Golang for performance-critical services and NVIDIA Triton Inference Server for optimized model serving. What we're looking for
Background in Computer Science, Machine Learning, Statistics or a related field. Extensive hands-on experience designing, deploying, and maintaining ML systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes. Strong track record building ML platforms and infrastructure, including MLOps best practices — from data pipelines and model training workflows to serving and observability — with hands-on experience using NVIDIA Triton Inference Server. Expertise in Python and familiarity with production-grade ML frameworks (such as PyTorch or TensorFlow), as well as modern ML architectures (transformer-based models, embeddings, retrieval-augmented pipelines). Familiarity with robust MLOps practices, data pipelines, and cloud ML deployment, including model serving and monitoring. Excellent communication and collaboration skills, with the ability to articulate technical concepts to both technical and non-technical audiences. You might also have
Experience with Golang for building high-performance ML systems/infrastructure. A forward-thinking mindset, always seeking opportunities to innovate and improve processes. A passion for mentoring and supporting teammates, fostering a culture of collaboration and shared success. Experience in ad tech or other performance-critical domains like recommender systems or real-time personalization. Additional information
International relocation support is not available for this position. Work visa/immigration sponsorship is not available for this position. Life at Unity
Unity is the leading platform to create and grow games and interactive experiences. Creators—from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more—use Unity to bring imaginations to life across multiple platforms, from mobile and PC to console and 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 requires accommodations for a comfortable interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. This position requires a sufficient knowledge of English for professional verbal and written exchanges. Headhunters and recruitment agencies may not submit resumes through this site or to managers. Unity does not accept unsolicited headhunter resumes and will not pay fees to third-party agencies without a signed agreement with Unity. Your privacy is important. Please review our Prospect Privacy Policy and Applicant Privacy Policy. If you have concerns about privacy, please contact DPO at Unity. #SEN #LI-AR1 *Note: Some locations require disclosure of the base salary range. The actual salary may differ based on location, experience, and other factors. Gross pay salary $165,600 — $315,000 USD
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