Senior ML Infra Engineer Low-Latency Serving

The opportunity

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 Unity's 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.

You'll build and operate the infrastructure that brings ML models from training into production, ensuring our ranking, bidding, and targeting systems run reliably s is a great opportunity for an engineer who's 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.

• Design, build, and maintain the infrastructure that serves ML models in real‑time across Unity's 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 product ionize 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

• 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, Torch Serve, or similar
• Understanding of distributed systems, API design, and system reliability
• Strong collaboration and communication skills in a remote‑first environment

• 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, Open Telemetry
• Background with real‑time data pipelines, caching layers, or low‑latency serving systems

• Relocation support is not available for this position

• 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

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 $183,700—$248,600 USD

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.

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