Sr Machine Learning Engineer

About this role

Adobe is looking for a   Senior 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 of   applied ML, large-scale cloud services, and GPU-optimized inference , partnering closely with Adobe Research and product engineering teams to translate   cutting-edge   models into   r eliable, 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.  

What   you’ll   do     

• 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 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  

• 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  

About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. 

AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .   Expected Pay Range: 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 ro

Similar jobs

• Sr Machine Learning Engineer — Disney · Orlando, FL
• Sr Machine Learning Engineer — Disney · Seattle, WA | Santa Monica, CA
• Sr Machine Learning Engineer — PayPal · San Jose, California, United States
• Senior Machine Learning Engineer — Ouryahoo · United States of America
• Senior Machine Learning Engineer — Claritypay · New York City
• Senior Machine Learning Engineer — Amperity · Seattle, WA
• Senior Machine Learning Engineer — Fanduel · Atlanta, Georgia, United States; New York City
• Senior Machine Learning Engineer — Attentive · New York, NY