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    MLOps Engineer - San Jose, United States - Adobe

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    Description
    Our Company

    Changing the world through digital experiences is what Adobe's all about.

    We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.


    We're 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

    About Adobe:
    At Adobe, our mission is to change the world through digital experiences.

    As the creator of industry-leading applications for creative professionals, such as Photoshop, Lightroom, Illustrator, and the revolutionary PDF format, Adobe has consistently reshaped how we create, publish, and share documents.

    Our products are also integral to the digital experiences enjoyed by users worldwide through their web, mobile, and desktop devices.

    Within Adobe, the Search and Discovery platform is dedicated to simplifying and accelerating the creative journey across the Adobe ecosystem.

    We help users discover assets and ingredients through search, browse, recommendations, and assistive experiences. The Content Processing Platform, a part of Adobe Sensei, empowers Machine Learning and AI across Adobe's cloud product lines.

    It caters to the needs of applied researchers, millions of users, and billions of content pieces, with a mission to democratize Artificial Intelligence.

    Join the Adobe SDC (Search, Discovery & Content) Org to be part of a dynamic team shaping computer vision, user understanding, language understanding, and digital experience optimization.

    We offer the pace and innovation of a startup, supported by the resources and infrastructure of Adobe

    Role Overview:
    In pursuit of our ambitious goals, we are seeking MLOps

    Engineer to

    design, develop and implement

    ML services in the cloud and production

    .

    The ideal candidate will be a hands-on professional with

    a good

    understanding

    on

    ML and DevOps practices,

    container systems

    such as Docker, k8

    s,

    cloud infrastructure management and

    strong interpersonal skills

    .

    Good knowledge and understanding of various monitoring tools, automation,

    practices around GitOps, CI/CD tools is

    highly sought

    .

    Responsibilities:
    Manage large training and inference clusters,

    indexing

    pipelines, Cloud Infrastructure,


    working closely with architects and engineers to launch GenAI and ML services end-to-end, promoting a culture of democratized MLOps and DevOps.

    Work on large-scale stateful and stateless distributed systems, Kubernetes, and a wide range of diverse services, including infrastructure, real-time messaging, data ingestion platforms, SQL and no-SQL databases, web services, orchestration services and more.

    Automate software lifecycle (SLC) processes by building and supporting software modules, scripts, deployment frameworks, tracers, monitors, and

    self-healing/auto-remediation

    tools.
    Enable ML and engineering teams to own and run their services end to end by implementing automation around common practices

    and workflows

    ,

    including

    training,

    self-service monitoring, idea evolution, new feature development, and benchmarking for performance and feasibility.
    Maintain up-to-date documentation on deployments, processes, and standard operating procedures/runbooks.
    Explore and research new and emerging ML and AIOps technologies to address Adobe's global needs.
    This role is not suited for candidates who have worked exclusively in release engineering roles.

    Requirements:
    Minimum of

    3

    5

    years of relevant industry experience.
    Exposure to container runtime environments.
    Experience in building, deploying, and managing infrastructures in public clouds (AWS, Azure) or virtualization technologies.
    Experience with running and scaling No-SQL technologies like Elastic Search, Kafka, HBase, MongoDB, Apache Spark, etc.,
    Experience in performance tuning, optimization of Linux, GPUs, or similar systems, and high-scale architecture design.
    System design and administration experience in Linux production environments. Knowledge of Linux, GPUs, Internet Protocols, and Large-Scale Operations is

    encouraged.
    Strong knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.,
    Excellent programming skills (Perl, Python, Ruby, Shell, Java) and automation skills.
    Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity,

    disability, or veteran status.
    Our Company

    Changing the world through digital experiences is what Adobe's all about.

    We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.


    We're 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

    About Adobe:
    At Adobe, our mission is to change the world through digital experiences.

    As the creator of industry-leading applications for creative professionals, such as Photoshop, Lightroom, Illustrator, and the revolutionary PDF format, Adobe has consistently reshaped how we create, publish, and share documents.

    Our products are also integral to the digital experiences enjoyed by users worldwide through their web, mobile, and desktop devices.

    Within Adobe, the Search and Discovery platform is dedicated to simplifying and accelerating the creative journey across the Adobe ecosystem.

    We help users discover assets and ingredients through search, browse, recommendations, and assistive experiences. The Content Processing Platform, a part of Adobe Sensei, empowers Machine Learning and AI across Adobe's cloud product lines.

    It caters to the needs of applied researchers, millions of users, and billions of content pieces, with a mission to democratize Artificial Intelligence.

    Join the Adobe SDC (Search, Discovery & Content) Org to be part of a dynamic team shaping computer vision, user understanding, language understanding, and digital experience optimization.

    We offer the pace and innovation of a startup, supported by the resources and infrastructure of Adobe

    Role Overview:
    In pursuit of our ambitious goals, we are seeking MLOps

    Engineer to

    design, develop and implement

    ML services in the cloud and production

    .

    The ideal candidate will be a hands-on professional with

    a good

    understanding

    on

    ML and DevOps practices,

    container systems

    such as Docker, k8

    s,

    cloud infrastructure management and

    strong interpersonal skills

    .

    Good knowledge and understanding of various monitoring tools, automation,

    practices around GitOps, CI/CD tools is

    highly sought

    .

    Responsibilities:
    Manage large training and inference clusters,

    indexing

    pipelines, Cloud Infrastructure,


    working closely with architects and engineers to launch GenAI and ML services end-to-end, promoting a culture of democratized MLOps and DevOps.

    Work on large-scale stateful and stateless distributed systems, Kubernetes, and a wide range of diverse services, including infrastructure, real-time messaging, data ingestion platforms, SQL and no-SQL databases, web services, orchestration services and more.

    Automate software lifecycle (SLC) processes by building and supporting software modules, scripts, deployment frameworks, tracers, monitors, and

    self-healing/auto-remediation

    tools.

    Enable ML and engineering teams to own and run their services end to end by implementing automation around common practices

    and workflows

    ,

    including

    training,

    self-service monitoring, idea evolution, new feature development, and benchmarking for performance and feasibility.

    Maintain up-to-date documentation on deployments, processes, and standard operating procedures/runbooks.

    Explore and research new and emerging ML and AIOps technologies to address Adobe's global needs.

    This role is not suited for candidates who have worked exclusively in release engineering roles.

    Requirements:
    Bachelor's degree in engineering.

    Minimum of

    3

    5

    years of relevant industry experience.

    Exposure to container runtime environments.

    Experience in building, deploying, and managing infrastructures in public clouds (AWS, Azure) or virtualization technologies.

    Experience with running and scaling No-SQL technologies like Elastic Search, Kafka, HBase, MongoDB, Apache Spark, etc.,

    Experience in performance tuning, optimization of Linux, GPUs, or similar systems, and high-scale architecture design.

    System design and administration experience in Linux production environments. Knowledge of Linux, GPUs, Internet Protocols, and Large-Scale Operations is

    encouraged.

    Strong knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.,

    Excellent programming skills (Perl, Python, Ruby, Shell, Java) and automation skills.

    Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity,

    disability, or veteran status.
    Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $135,200 $250,900 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

    At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.

    Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

    In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
    Adobe is proud to be an Equal Employment Opportunity

    and affirmative action 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 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, email

    or call

    Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

    At Adobe, you will be immersed in an exceptional work environment that is recognized around the world . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In

    approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog

    and explore the meaningful benefits

    we offer.
    Adobe is proud to be an Equal Employment Opportunity

    and affirmative action 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 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, email

    or call

    Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

    #J-18808-Ljbffr

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