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Sr Staff Machine Learning Engineer, Adobe Firefly Services
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$190k–$346k/yr
Full-time
postgraduate degree
Comprehensive Benefits Programs, Equity Award
Posted 54d ago
~40 hrs/week
Responsibilities
Design and develop scalable generative AI services and APIs to integrate models into Adobe's flagship products. Build and optimize GPU-accelerated pipelines for model training and inference while mentoring other ML engineers.
Requirements
Requires an MS or PhD in Computer Science or ML with over 10 years of experience in production-scale machine learning. Candidates must have 3+ years of experience leading large-scale, GPU-intensive GenAI systems.
Full job description
Adobe Firefly’s Generative AI Services team is seeking SeniorMachine Learning Engineers for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job Responsibilities
Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model
Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability.
Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
What You’ll Need to Succeed
MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
10+ years of experience in machine learning, including production-scale deployments.
3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
Good understanding of generative model architectures, including diffusion models, transformers, and GANs.
Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
Preferred Qualifications
Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.
#FireflyGenAI
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.
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 $190,200 -- $345,650 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 $238,700 - $345,650
In Washington, the pay range for this position is $223,500 - $323,700

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.
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.
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. From creators and students to small businesses, global enterprises, and nonprofit organizations — customers choose Adobe products to ideate, collaborate, be more productive, drive business growth, and build remarkable experiences.
Offices: 345 Park Avenue, San Jose, CA 95110-2704, US · 801 N 34th St, Seattle, WA 98103, US · 201 Sussex St, Sydney, NSW 2000, AU · 112 Avenue Kleber, Paris, IdF 75116, FR · Georg-Brauchle-Ring 58, Munich, BY 80992, DE
How much do Science & Research jobs in San Jose, CA pay?
Based on 666 listings with disclosed salaries, most science & research jobs in San Jose, CA pay between $100k–$262k per year. Individual offers vary with seniority, company size, and specialization.
How many Science & Research jobs are open in San Jose, CA right now?
There are currently 808 open science & research positions in San Jose, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in San Jose, CA?
Companies currently hiring include Muon Space, Capital One, Hark Labs, Archer, Research and Innovation at San Jose State University, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in San Jose, CA?
Yes — 176 of the 808 open science & research positions offer remote or hybrid work (30 remote, 146 hybrid).
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