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About the Role

As a Staff Software Engineer on the Feature Platform team, you'll build the infrastructure powering machine learning, experimentation, and optimization across Unity's ads ecosystem. You will design and operate systems that transform high-volume event data into production-grade feature datasets for bidding, attribution, and ranking, working at the intersection of distributed systems, platform engineering, and ML infrastructure. This role involves owning the full software lifecycle of pipeline systems, from architecture to reliability and performance, collaborating with ML, backend, and product teams.

Responsibilities

Design, build, and operate scalable, production-grade data pipeline systems and curated feature datasets powering ads optimization and ML
Own end-to-end offline data flows from raw event ingestion to feature-ready datasets, with strong emphasis on correctness, reproducibility, and SLA compliance
Develop and maintain large-scale batch and streaming systems (Python / Java / SQL) with a strong focus on performance, cost-efficiency, and reliability
Build and contribute to our Feature Store platform, including integration with the high-throughput online serving layer (Go-based services)
Translate complex product and monetization logic into well-engineered, extensible systems serving analytics and machine learning use cases
Drive improvements in observability, testing frameworks, and quality standards across the platform
Lead architectural decisions and engineering best practices within the Feature Platform team

Requirements

Strong software engineering fundamentals with deep experience designing and operating large-scale distributed systems in production
Hands-on experience building production-grade ETL/ELT pipelines using Python, Java, SQL, or similar technologies
Experience with distributed processing frameworks such as Spark or Flink in both batch and streaming modes, including performance tuning and parallel computation
Understanding of how offline data systems integrate with online serving layers — feature stores, low-latency APIs, and real-time systems
Experience with cloud-native environments, containerized systems, Kubernetes, and workflow orchestration tools
Strong ownership mindset — focused on correctness, observability, and long-term maintainability
Experience with Go is a plus, particularly for collaboration on high-throughput feature serving services

Skills

Python
Java
SQL
Spark
Flink
Go
Kubernetes

Location

Remote

Work Type

Full-time

Experience Level

Staff

Salary/Compensations

$278,100.00 - $417,100.00

Benefits

Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
Support for new parents through leave and family-care programs
Office food snacks
Mental Health and Wellbeing programs and support
Employee Resource Groups
Global Employee Assistance Program
Training and development programs
Volunteering and donation matching program

About the Company

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month.
The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity.
Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality.
At Unity, we're committed to creating a workplace that fosters collaboration and teamwork that allows you to harness your unique skills.
Join us in creating industry tools to help creators of all levels bring their projects to reality.

Equal Opportunity

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.