Sr Machine Learning Services Engineer
Adobe Systems GmbH
- San Jose, Arizona, United States
- San Jose, Arizona, United States
About
You will join a team responsible for the ML cloud services that power features used daily by millions of creators across products like Photoshop, Lightroom, Illustrator, Express, Stock, and enterprise surfaces. This is a hands‑on senior IC role with meaningful technical ownership and direct impact on customer‑facing AI experiences.
What you’ll do
Design, build, and operate backend cloud services that power ML and Generative AI features across multiple Adobe products
Build an agentic end‑to‑end pipeline for tech transfer modernization
Architect and optimize GPU‑accelerated ML inference pipelines for scalability, cost efficiency, and reliability in production
Optimize ML models for production inference, including techniques such as quantization, pruning, graph optimization, batching, and hardware‑aware tuning to improve latency, throughput, and cost
Analyze and improve performance, quality, stability, and throughput of end‑to‑end AI workflows
Lead the integration of new ML models into production systems, including model validation, regression testing, and quality evaluation
Build and maintain CI/CD pipelines supporting a suite of ML‑backed microservices
Collaborate closely with Research, Product, and Engineering partners to productionize new ML capabilities
Ensure services meet production standards for observability, monitoring, logging, and incident response
Participate in on‑call and production support, contributing to a culture of operational excellence
What you need to succeed
5+ years of experience building, optimizing, and operating ML systems in production, including GPU‑based workloads
Proven experience designing large‑scale, reliable cloud services with strong performance and availability requirements
Strong background in model serving and inference optimization, including techniques for conversion, compression, and orchestration
Hands‑on experience with computer vision and/or generative models such as GANs, diffusion models, CLIP, or MLLMs
Expertise in building agents for workflow automation and orchestration
Proficiency with core technologies such as Python, PyTorch, TensorFlow, NVIDIA Triton, TorchServe, ONNX, AIT, AOT, CUDA, Docker, Kubernetes, AWS
Solid understanding of GPU systems, drivers, and deployment considerations in cloud environments
Ability to work independently on complex systems while collaborating effectively across teams
Expected Pay Range U.S. pay range for this position is $151,800 – $265,350 annually. The range varies by work location and may also depend on job‑related knowledge, skills, and experience. In California, the pay range for this position is $183,300 – $265,350.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
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Languages
- English
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