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Machine Learning Engineer, Firefly Services

  • Job type Posted on: Jul 03, 2026
  • Experience level Dormont Manufacturing Co
  • Employment type Seattle, Washington
  • Remote status Salary: $234,150 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Machine Learning Engineer, Firefly Services

Job Type :

Full-time

Job Location :

Seattle Washington United States

Remote :

No

Jobcon Logo Job Description :

Job Responsibilities Design and develop 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, focusing on model inference strategies and productization of those models. 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. Requirements MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 1‑3+ years of experience in machine learning, including production‑scale deployments. 1‑3+ 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. Compensation The U.S. pay range for this position is $125,600 – $234,150 annually. In California the range is $161,700 – $234,150, and in Washington the range is $142,500 – $206,275. Equal Employment Opportunity 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. Accommodations for Applicants with Disabilities Adobe aims to make our Careers website and recruiting process accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call +1 408-536-3015. State‑Specific Notices California Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair‑chance ordinances. Colorado If this role is open to hiring in Colorado, 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 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. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 03, 2026

Reference Number:

14660_1F16C4AC9C2ACE234509551758065133

Employment:

Full-time

Salary:

Not Available

City:

Seattle

Job Origin:

APPCAST_CPC

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Job Responsibilities Design and develop 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, focusing on model inference strategies and productization of those models. 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. Requirements MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 1‑3+ years of experience in machine learning, including production‑scale deployments. 1‑3+ 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. Compensation The U.S. pay range for this position is $125,600 – $234,150 annually. In California the range is $161,700 – $234,150, and in Washington the range is $142,500 – $206,275. Equal Employment Opportunity 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. Accommodations for Applicants with Disabilities Adobe aims to make our Careers website and recruiting process accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call +1 408-536-3015. State‑Specific Notices California Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair‑chance ordinances. Colorado If this role is open to hiring in Colorado, 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 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. #J-18808-Ljbffr

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