Senior Machine Learning Infrastructure Engineer

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 at scale. This 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. What you’ll be doing 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 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 we’re 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 Equal Opportunity Statement 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. 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. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at View email address on click.appcast.io. Salary Gross pay salary

$183,700 — $248,600 USD