Machine Learning Infra Engineer

About the Role Nuance Labs is building the next generation of emotionally expressive, real-time AI. This is a critical role to build the infrastructure that powers our AI platform. You will own the systems that serve models at scale, orchestrate complex data workflows, and ensure our real-time video AI runs reliably with low latency for users worldwide. Responsibilities Own Inference Infrastructure: Build and maintain the serving stack for multimodal AI workloads. Optimize for latency, throughput, and cost using batching strategies, autoscaling, and intelligent resource allocation. Real-Time Video Streaming: Architect systems to handle long-lived WebRTC connections with unpredictable client behavior, ensuring smooth video and audio delivery at scale. Orchestrate Data Workflows: Build robust pipelines for offline processing, evaluation, and training using orchestration frameworks like Dagster or Ray. Manage petabyte-scale video storage and network requirements. GPU Cluster Management: Configure and maintain GPU clusters using Kubernetes and Terraform. Implement monitoring, autoscaling based on custom metrics, and cost optimization strategies. Developer Tooling: Build CI/CD, evaluation, and versioning systems that enable safe, zero-downtime model deployments and rapid iteration cycles. Requirements Infrastructure Expertise: Strong practical experience with Kubernetes, Terraform, and cloud platforms. You can design secure, scalable systems and debug complex distributed issues. Systems Programming: Proficiency in Python and experience with systems languages (Rust or Go). Comfortable profiling workloads and resolving compute, memory, or network bottlenecks. Orchestration & Pipelines: Experience managing large-scale offline workflows using tools like Dagster, Ray, Airflow, or similar frameworks. Production Operations: Deep understanding of production reliability, monitoring, incident response, and capacity planning for high-traffic services. Preferred Experience Experience with WebRTC or real-time media pipelines in production Experience running GPU-backed inference services at scale (vLLM, Triton Inference Server, TensorRT) Knowledge of performance optimization and low-level systems debugging Familiarity with video/audio processing and storage systems Nuance Labs Key Facts $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels including Synthesia’s former CPO. A world-class team of PhDs from MIT, UW, and Oxford with decades of industry experience at Apple and Meta, advancing real-time avatars from cutting-edge research to products used by millions. In-person collaboration, 5 days a week at Seattle HQ

{
  "content_hash": "725f1db97299b8ed6aa15c9d090a198f3c2229091191bf1fc35adb927ed1f9e7",
  "source_hash": "3e20c8995a9175db25fb3cf5da7d89c93158e875ed4f52206f04d4267fdd6c01",
  "last_changed_at": "2026-06-06T20:12:12.228Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "Seattle, Washington",
    "city": "Seattle",
    "region": "WA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.85
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-04T11:13:16.874Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Seattle, Washington",
      "city": "Seattle",
      "region": "WA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.85
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}

{}

{
  "title": "Machine Learning Infra Engineer",
  "offices": [
    {
      "id": 4030799009,
      "name": "Seattle",
      "location": null,
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Seattle, Washington"
  },
  "metadata": [],
  "updated_at": "2026-02-27T00:20:29-05:00",
  "departments": [
    {
      "id": 4031248009,
      "name": "Engineering",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Nuance Labs",
  "requisition_id": 4092458009,
  "first_published": "2026-02-24T14:58:39-05:00",
  "application_deadline": null
}