Senior Machine Learning Engineer, Services/MLOps

About the role

Firefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI — deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces. The business has gained significant traction in Media & Entertainment, marketing, and consumer retail, and is expanding rapidly into adjacent verticals. We are hiring a Senior Machine Learning Engineer to build the pipelines and services that turn Firefly Foundry's models into reliable, enterprise-grade products.

What you will do

• Own the full serving lifecycle for heterogeneous model pipelines — packaging, versioned rollout, canary/rollback, and autoscaling — from research checkpoint to enterprise endpoint.
• Deploy these pipelines as services and scale them to enterprise traffic, meeting target latency and throughput budgets.
• Ensure served quality matches the training and reference environment — closing train/serve gaps across precision, preprocessing, and model versions.
• Engineer for enterprise from the ground up: tenancy boundaries, data isolation, and the controls that let us honor customer IP contracts under audit.
• Build the platform underneath it all — rapid pipeline deployment, observability, monitoring, and alerting.
• Define and enforce quality gates in the deployment pipeline – automated eval, regression detection, and drift monitoring that block bad model versions from reaching production.
• Own GPU capacity and cost – utilization, batching efficiency, and right-sizing acceleration fleets against latency SLAs.
• Run production ML operationally – on-call, incident response, and postmortems for availability and latency regressions.
• Depending on your focus area, you may also:
  • Build externalizable data pipelines that power self-serve fine-tuning flows for enterprise customers.
  • Stand up optimized VLM deployments for media intelligence and content querying.

Who you will partner with

• Applied Science — to take research models into reliable, high-throughput serving and to keep served quality faithful to the training environment.
• ML Engineering leadership and AI Platform — on shared infrastructure, accelerator capacity, and serving primitives at platform scale.
• Firefly Foundry Studio — to translate creative production workflows into performant, dependable ML services.

What you bring

• 5+ years in machine learning engineering, with significant ownership of production ML or inference services at scale.
• Strong Python and deep-learning engineering skills (PyTorch), with hands-on experience deploying and scaling model-backed services.
• Experience composing multi-model pipelines and serving them behind APIs — orchestration, batching, autoscaling, and version management.
• A track record building the observability, monitoring, and alerting that production services rely on to hit latency and throughput targets.
• Comfort working across multiple, distinct generative model architectures (LLMs and VLMs, diffusion and transformer models, 3D/mesh) — enough to integrate, optimize, and reason about output quality, in partnership with Applied Science.
• Experience with multi-tenant systems and data isolation in an enterprise or regulated context.
• Fluency with containers and orchestration (Docker, Kubernetes), CI/CD for ML, and a major cloud (AWS or Azure).
• GPU inference optimization for latency and cost — quantization, batching, and serving runtimes; custom CUDA a plus.
• Strong, data-driven problem-solving and excellent communication in cross-functional teams.
• Master's or PhD in Computer Science, Computer Engineering, or a related field — or equivalent practical experience building and operating production ML systems.

Pay

The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. In California, the pay range is $183,300 - $265,350. In Washington, the pay range is $165,600 - $239,725. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.