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Sr Machine Learning EngineerDormont Manufacturing Co • San Jose, Arizona, United States
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Sr Machine Learning Engineer

Dormont Manufacturing Co
  • US
    San Jose, Arizona, United States
  • US
    San Jose, Arizona, United States
Postuler Maintenant

À propos

Adobe is looking for aSenior Machine Learning Services Engineerto 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.
Whatyou’lldo
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
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 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.
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.
State‑Specific Notices California Fair Chance Ordinances: Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado Application Window Notice: If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts Massachusetts Legal Notice: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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  • San Jose, Arizona, United States

Compétences linguistiques

  • English
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