Adobe Systems

3 months ago

Machine Learning Engineer, Firefly Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Machine Learning Engineer on Adobe Firefly’s GenAI Services team. Design and deploy scalable, GPU-accelerated GenAI inference pipelines and APIs, integrate diverse generative models into Adobe products, and drive engineering excellence across flagship tools like Firefly, Photoshop, Illustrator, and Premiere while mentoring other ML engineers.

Location: Seattle

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 focusing on model inference strategies and productization.
•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.

Pay and Benefits

Perks:Health InsuranceDental401kEquity

Key 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.

Experience:1-3 yearsGenAIMachine learningGPUInference

Education:Master's

Skills:CommunicationLeadershipTeamworkMentoring

Languages:English

Tech Stack:PyTorchCUDATritonTensorRTNvidia DynamoPythonKubernetes

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

3 months ago

Machine Learning Engineer, Firefly Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Seattle

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 focusing on model inference strategies and productization.
•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.

Pay and Benefits

Perks:Health InsuranceDental401kEquity

Key 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.

Experience:1-3 yearsGenAIMachine learningGPUInference

Education:Master's

Skills:CommunicationLeadershipTeamworkMentoring

Languages:English

Tech Stack:PyTorchCUDATritonTensorRTNvidia DynamoPythonKubernetes

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