Sr. Machine Learning Engineer, Adobe Firefly Services
Sr. Machine Learning Engineer, Adobe Firefly Services
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 182900 - 334500
1 Vacancy
Job Description
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!
- 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 enterprisescale 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 optimizeGPUaccelerated 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.
- MS or PhD in Computer Science Machine Learning or a related fieldor equivalent industry experience.
- 7 years of experience in machine learning including productionscale deployments.
- 3 years of experience leading largescale GPUintensive GenAI systems (training inference and optimization).
- Experience with GenAI frameworks and tools such asPyTorch CUDA Triton TensorRTNvidia 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.
- Experience withmodel serving inference orchestration and GPU resource managementin largescale environments.
- Handson expertise inKubernetes distributed systems and MLOps platforms.
At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and shortterm incentives are in the form of sales commission plans. Nonsales roles starting salaries are expressed as base salary and shortterm incentives are in the form of the Annual Incentive Plan (AIP).
In addition certain roles may be eligible for longterm incentives in the form of a new hire equity award.
StateSpecific 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 is proud to be anEqual Employment Opportunityemployer. 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 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 emailor call (408).
Required Experience:
Senior IC
Employment Type
Full-Time
