Senior Machine Learning Infrastructure Engineer

Unity
San Francisco, US
On-siteCareer-pivot friendly

Who this role is best for

Best suited to senior engineers with production ML infrastructure experience working in high-scale distributed systems and ad tech domains.

Best fit for

  • Engineers who thrive on optimizing real-time ML systems at billion-scale.
    — “processing billions of requests daily to deliver fast, relevant ads
  • Systems thinkers comfortable owning full ML serving pipeline lifecycle.
    — “Design, build, and maintain the infrastructure that serves ML models
  • Collaborators who bridge ML engineering and infrastructure teams effectively.
    — “Partner with ML engineers to productionize models

Things to consider

  • No relocation support available — local candidates only.
    — “Relocation support is not available
  • English proficiency required for global team collaboration.
    — “sufficient knowledge of English to have professional verbal and written exchanges

How to stand out

  • Showcase specific optimizations you've made to ML serving latency.
    — “owning latency, throughput, and reliability in a high-QPS production environment
  • Highlight cross-team collaboration on model deployment processes.
    — “collaborate across teams, and have direct impact
  • Demonstrate experience with both Kubernetes and ML serving frameworks.
    — “Hands-on experience with Kubernetes and container orchestration at scale
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and operate ML serving pipelines
  • improve model serving infrastructure
Typical background
experience building and operating ML infrastructure

Skills & requirements

Required

ML InfrastructureKubernetesPythonObservabilityDistributed Systems

Preferred

Ad Tech Experience

Stack & domain

Ml InfrastructureModel Serving SystemsGoPythonKubernetesContainer OrchestrationRay ServeTritonTorchserveFeature StoresFeature PipelinesOnline/offline Feature ServingAd TechReal-time BiddingProgrammatic AdvertisingInfrastructure-as-codePrometheusGrafanaOpentelemetryReal-time Data PipelinesCaching LayersLow-latency Serving SystemsCollaborationCommunicationMachine LearningDistributed InfrastructureAdvertising Platform

About the role

Original posting from Unity

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 ecosystemBuild and operate scalable model serving pipelines — owning latency, throughput, and reliability in a high-QPS production environmentPartner with ML engineers to productionize models, manage model deployments, and improve iteration speedImprove observability, performance, and cost-efficiency of ML serving infrastructureContribute to architectural decisions around feature serving, model versioning, and inference optimizationWhat we're looking for

Experience building and operating ML infrastructure or model serving systems in productionProficiency in Golang or Python, with strong systems engineering fundamentalsHands-on experience with Kubernetes and container orchestration at scaleFamiliarity with ML serving frameworks such as Ray Serve, Triton, TorchServe, or similarUnderstanding of distributed systems, API design, and system reliabilityStrong collaboration and communication skills in a remote-first environmentYou might also have

Experience with feature stores, feature pipelines, or online/offline feature servingBackground in ad tech, real-time bidding, or programmatic advertising systemsFamiliarity with infrastructure-as-code such as TerraformExperience with observability tooling — Prometheus, Grafana, OpenTelemetryBackground with real-time data pipelines, caching layers, or low-latency serving systemsAdditional information

Relocation support is not available for this positionBenefits

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

Life at Unity

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. For more information, please visit www.unity.com.

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.

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

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 DPO@unity.com.

#SEN #LI-ED1

*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

Source: Unity careers

Similar roles