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Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

$125K - $234K/yr

The Opportunity Adobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe's Customer Experience Orchestration customers. By partnering with Adobe Research ...

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Adobe is known for its collaborative and innovative culture, prioritizing creativity, experimentation, and employee growth. The company's structure is divided into various teams, including product development, design, and engineering, which work together to drive innovation and push the boundaries of digital experiences. Working at Adobe may appeal to candidates who are passionate about technology, design, and creativity, as the company offers opportunities to work on cutting-edge projects and develop skills in a dynamic and supportive environment.
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    Infographic showing various Machining job openings at Adobe in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, and 5% Remote job distribution.
    Machine Learning Engineer, Adobe Firefly Services

    Machine Learning Engineer, Adobe Firefly Services

    Adobe

    San Jose, CA • On-site

    Full-time

    This job post has expired 1 day ago. Applications are no longer accepted.

    Job description

    Job Summary:
    Adobe is a company that empowers everyone to create through innovative platforms and tools. They are seeking a Senior Machine Learning Engineer for their Firefly Generative AI Services team to design and develop scalable generative AI systems and integrate them into Adobe products.
    Responsibilities:
    • Design and evelopment 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.
    Qualifications:
    Required:
    • MS or PhD in Computer Science, Machine Learning, or a 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.
    • Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
    Preferred:
    • Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
    • Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.
    Company:
    Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
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    About Adobe

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    Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

    Industry

    Computer and computer peripheral equipment and software wholesalers

    Company size

    10,000+ Employees

    Headquarters location

    San Jose, CA, US

    Year founded

    1982

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