Adobe Systems

2 months ago

Sr Machine Learning Engineer, Adobe Firefly Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Senior ML engineer designing and building scalable GenAI services and APIs that integrate multiple generative models into Adobe flagship products. You’ll optimize GPU-accelerated inference pipelines, collaborate with Research and model teams, and drive productization of models for enterprise and consumer use, mentoring others while setting technical direction in a high-impact GenAI team.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.

Key Requirements

•MS or PhD in Computer Science, Machine Learning, or related field—or equivalent industry experience.
•4-7+ years of experience in machine learning, including production-scale deployments.
•2+ 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.

Experience:4-7 yearsGenAIAIMachine learning

Skills:PythonPyTorchCUDATensorRTKubernetesGPUTransformersGANsDiffusion models

Tech Stack:PythonPyTorchCUDATritonTensorRTKubernetesGPUTransformersGANsDiffusion models

Company Brief

Adobe Systems

Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Adobe Systems

2 months ago

Sr Machine Learning Engineer, Adobe Firefly Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.

Key Requirements

•MS or PhD in Computer Science, Machine Learning, or related field—or equivalent industry experience.
•4-7+ years of experience in machine learning, including production-scale deployments.
•2+ 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.

Experience:4-7 yearsGenAIAIMachine learning

Skills:PythonPyTorchCUDATensorRTKubernetesGPUTransformersGANsDiffusion models

Tech Stack:PythonPyTorchCUDATritonTensorRTKubernetesGPUTransformersGANsDiffusion models

Company Brief

Adobe Systems

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1982

Glassdoor: 4.0

Website LinkedIn Glassdoor