The opportunity
As a Staff Software Engineer on the Feature Platform team, you'll play a critical role in building the infrastructure that powers machine learning, experimentation, and optimization across our ads ecosystem. You'll design and operate the systems that transform high-volume event data into production-grade feature datasets used for bidding, attribution, and ranking - working at the intersection of distributed systems, platform engineering, and ML infrastructure.

This role goes beyond data processing. You'll own the full software lifecycle of pipeline systems - from architecture and implementation through to reliability, observability, and performance at scale - collaborating closely with ML, backend, and product teams to build durable, high-quality infrastructure that supports both offline training workflows and online feature serving.

This role is ideal for someone who enjoys owning complex systems end-to-end, thinking deeply about correctness and scalability, and building software that other engineering teams depend on.

What you'll be doing

• What You'll Be Doing
• 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

What we're looking for

• 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

You might also have

• Experience with ML infrastructure, feature stores, or model training pipelines
• Background in ads, attribution, or monetization systems
• Familiarity with experimentation and metrics infrastructure
• Exposure to high-scale backend or platform engineering

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: 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

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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

$192,600-$288,800 USD