Sr Machine Learning Engineer

Adobe is looking for aSenior Machine Learning Services Engineer to help bring new AI and Generative AI capabilities into production across Adobe’s flagship creative products. In this role, you will work at the intersection ofapplied ML, large-scale cloud services, and GPU-optimized inference, partnering closely with Adobe Research and product engineering teams to translatecutting-edgemodels into reliable, high-performance production services.

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.

• Design, build, and operate backend cloud services that power ML and Generative AI features across multiple Adobe products
• 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 product ionize 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

• 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
• Proficiency with core technologies such as Python, PyTorch, Tensor Flow
• NVIDIA Triton, Torch Serve, 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

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. 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. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $183,300 - $265,350.

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.

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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