Machine Learning Engineer

San Jose, CA, United States

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!

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!

The Opportunity:

In pursuit of our ambitious goals, we are seeking a Senior MLOps Engineer to lead the design and re-architecture of our extensive infrastructure. The ideal candidate will be a hands-on professional with a deep technical understanding, particularly of GPU and CPU architecture, large training and inference clusters, and strong interpersonal skills. You should have a consistent track record of implementing well-architected frameworks on the cloud, automating and optimizing large-scale cloud infrastructure for efficient and reliable MLOps, and a solid understanding of ML/AI processing.

You will:

Collaborate at the intersection of engineering and operations of our platform with a focus on automation.

Manage large training and inference clusters, 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 our ML and software engineering teams to own and run their services end-to-end, including 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 or DevOps engineering roles.

Who you are:

Bachelor’s degree in engineering.

Minimum of 8-10 years of relevant industry experience.

Strong understanding of operating systems and distributed systems.

Experience in designing and building architecture and systems engineering for large-scale deployments comprising different components.

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

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

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

Exposure to container runtime environments.

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

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.

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 position is $170,900 -- $325,200 annually. Pay within this range varies by work location and 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 Adobe.com 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 [email protected] or call (408) 536-3015.

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.