Senior Machine Learning Infrastructure Engineer

Unity Software

San Francisco, CA

JOB DETAILS
SKILLS
Advertising, Application Programming Interface (API), Architectural Services, Bidding, Caching, Cisco Unity, Communication Skills, Data Management, Distributed Computing, Ecosystems, Go Programming Language (Golang), High Reliability, Machine Learning, Machine Tool, Performance Management, Production Systems, Python Programming/Scripting Language, Scalable System Development, Systems Engineering, Systems Reliability, Team Player
LOCATION
San Francisco, CA
POSTED
5 days ago

Unity is looking for a Senior Machine Learning Infrastructure Engineer to join our Vector Ads team, where we build the real-time systems that power Unitys global advertising platform. This is a high-scale, low-latency environment — processing billions of requests daily to deliver fast, relevant ads to players around the world.

Youll build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding, and targeting systems run reliably at scale. This is a great opportunity for an engineer whos excited to work at the intersection of ML systems and distributed infrastructure, collaborate across teams, and have direct impact on how machine learning shapes the player and advertiser experience.

What youll be doing

• Design, build, and maintain the infrastructure that serves ML models in real-time across Unitys ads ecosystem

• Build and operate scalable model serving pipelines — owning latency, throughput, and reliability in a high-QPS production environment

• Partner with ML engineers to productionize models, manage model deployments, and improve iteration speed

• Improve observability, performance, and cost-efficiency of ML serving infrastructure

• Contribute to architectural decisions around feature serving, model versioning, and inference optimization

What were looking for

• Experience building and operating ML infrastructure or model serving systems in production

• Proficiency in Golang or Python, with strong systems engineering fundamentals

• Hands-on experience with Kubernetes and container orchestration at scale

• Familiarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similar

• Understanding of distributed systems, API design, and system reliability

• Strong collaboration and communication skills in a remote-first environment

You might also have

• Experience with feature stores, feature pipelines, or online/offline feature serving

• Background in ad tech, real-time bidding, or programmatic advertising systems

• Familiarity with infrastructure-as-code such as Terraform

• Experience with observability tooling — Prometheus, Grafana, OpenTelemetry

• Background with real-time data pipelines, caching layers, or low-latency serving systems

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

About the Company

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Unity Software