Senior Software Engineer, Data & ML Infrastructure

San Francisco, CA, USA

Unity

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The opportunity

The Data & ML Platform team at Unity manages a comprehensive range of data and machine learning systems and tools, covering every stage of the lifecycle—from data ingestion and storage to processing, feature generation, machine learning model training, deployment, and serving. Our work facilitates diverse applications such as simulations, gaming experiences, and improved game monetization. We empower other Unity teams to create exceptional tools and services for our users.

We're seeking a talented Senior Data and ML Infrastructure Engineer to join our team. In this role, you will collaborate with engineers, product specialists, and data experts to research, prototype, and develop world-class applications, services, and pipelines, leveraging over 60 billion daily data events.

What you'll be doing

  • Design and optimize large-scale data platforms and machine learning infrastructure systems for efficiency, reliability, and cost-effectiveness.
  • Lead improvements in infrastructure tooling by researching, prototyping, and implementing solutions that enhance operational excellence and development agility.
  • Implement next-generation ML Ops capabilities in our model training, deployment, and serving pipelines.
  • Champion infrastructure optimization projects across the company, driving significant cost savings while maintaining or improving service performance.
  • Engage in on-call rotations, utilizing your deep understanding of infrastructure to identify and resolve complex issues quickly, minimize impact, and prevent future occurrences through automation and system enhancement.

What we're looking for

  • Experience in infrastructure and back-end engineering, with a track record of building robust distributed systems.
  • Daily hands-on experience with model training, deployment, experimentation, and serving tools for machine learning.
  • Deep understanding of cloud infrastructure using GCP, AWS, or Azure and proficiency in either Go, Java, or Python.
  • Experience with the latest data and machine learning technologies such as Google's Vertex AI, Ray, and SageMaker.
  • Experience in building Kubernetes infrastructure stacks, experience from either the ML or Data domain and its associated technologies is advantageous.

You might also have

  • An 'in-it-together' mentality that appreciates engineering as a collective effort.
  • Hands-on experience with tools such as Vertex AI, Protobuf, Kafka, Flink, BigQuery, Druid, Feast, Kubeflow, Ray, or KServe.
  • Experience with Terraform, ArgoCD, GitHub Actions, and similar tools used for CI/CD.

Additional information

  • Relocation support is not available for this position.
  • International relocation support is not available for this position.
  • Work visa/immigration sponsorship is not available for this position.

Life at Unity

Unity [NYSE: U] is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. 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 fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com.

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 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. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

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*Note: Certain locations require a good faith disclosure of the base pay for the role. The actual base pay for the successful candidate may differ based on location and level. Gross pay salary$111,000—$211,300 USD
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Tags: AWS Azure BigQuery CI/CD Distributed Systems Engineering Flink GCP GitHub Java Kafka KServe Kubeflow Kubernetes Machine Learning ML infrastructure Model training Pipelines Privacy Prototyping Python Research SageMaker Terraform Vertex AI

Perks/benefits: Career development Relocation support Team events

Region: North America
Country: United States

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