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Adobe

Sr. Machine Learning Engineer Adobe Firefly Services [FORTUNE]

Company: Adobe

Location: San Francisco CA

Posted on: May 02

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Job Description

Adobe FireflysGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor 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 systemspowering 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 Adobes first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobes most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job Responsibilities

  • Design and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobes flagship products.
  • Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration.
  • Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model
  • Build and optimizeGPU-accelerated pipelines for both (customized) model training and inferenceprioritizing performance, scalability, and reliability.
  • Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

What Youll Need To Succeed

  • MS or PhD in Computer Science, Machine Learning, or a related fieldor equivalent industry experience.
  • 7+ 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 asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python.
  • Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs.
  • Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.

Preferred Qualifications

  • Experience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments.
  • Hands-on expertise inKubernetes, distributed systems, and MLOps platforms.

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 positionis $120,700 -- $228,600 annually. Paywithin this range varies by work locationand 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.

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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 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 applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com 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 [email protected] or call (408) 536-3015.