Unity Technologies

Senior Machine Learning Infrastructure Engineer

Unity Technologies$183K — $248K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building ML infrastructure or model serving systems of scale
  • Proficient in Golang or Python with a strong understanding of systems engineering
  • Hands-on experience with Kubernetes and container orchestration
  • Familiar with ML serving frameworks like Ray Serve or Triton
  • Knowledge of distributed systems and API design
  • Excellent communication and collaboration skills in remote work settings

Responsibilities

  • Design and maintain infrastructure for real-time ML model serving
  • Build scalable model serving pipelines focusing on latency and throughput
  • Partner with ML engineers to deploy and manage model iterations
  • Enhance performance, observability, and cost-efficiency of systems
  • Contribute to architectural decisions regarding model versioning and inference

Benefits

  • 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 family-care programs
  • Office food snacks
  • Mental health and wellbeing support
  • Employee Resource Groups
  • Global Employee Assistance Program
  • Training and development programs
  • Volunteering and donation matching program
Full Job Description
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

*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

About Unity Technologies

Unity Technologies is a software company that provides a platform for creating and operating interactive, real-time 3D content. The company's platform is used by game developers, architects, automotive designers, filmmakers, and other creators to build and distribute interactive experiences. Unity Technologies was founded in 2004 and is headquartered in San Francisco, California. The company has offices in North America, Europe, and Asia.
Learn more about Unity Technologies
Size
4,000 employees
Industry
Founded
2004

Similar Jobs

More Jobs at Unity Technologies

More Enterprise Technology Jobs

Find similar Senior Machine Learning Infrastructure Engineer jobs: