Machine Learning Engineer

Company: Adobe Systems GmbH
Location: San Jose
Posted on: April 7, 2025

Job Description:

JOB LEVELP40EMPLOYEE ROLEIndividual ContributorThe opportunityAs a Senior Machine Learning Engineer with the Adobe Unified Brand Services (UBS) team, you will build and productize novel multi-modal Generative AI-powered solutions through multi-functional partnerships with fellow engineers, product managers, designers, and marketers. By improving upon industry leading experiences, you will address key challenges that arise in marketing content creation at scale, for enterprises' content supply chains.We're building something extraordinary! Our platform service delivers not only highly effective and intricate representations for crafting on-brand content but also provides robust tools to evaluate brand compliance across high-traffic Adobe surfaces, including Adobe GenStudio for Performance Marketers (GS PeM), Adobe Workfront, Adobe Experience Manager (AEM), and more.At Adobe UBS, we believe in the power of human connection. By infusing an enterprise's human element into multi-modal marketing communications across various channels and social media platforms, we enable businesses to forge and nurture lasting relationships and build trust with their customers. We recognize that each brand possesses unique preferences and distinctive qualities that dynamically harmonize with the surrounding marketing context in large volumes of multi-modal content.We are seeking a passionate and driven ML engineer who thrives on challenges and brings deep expertise in generative AI technologies. Make a tremendous impact in our fast-paced, startup-like environment. Come create the future with us!ResponsibilitiesInnovate, lead, design, implement, and deliver innovative algorithmic solutions and exciting new features for addressing business requirements.Conduct analytical experiments using statistical techniques and large vision language model (LLMs, VLMs) research for generative modeling of trends and patterns in data.Craft scalable code for building services involving deep ML algorithms, such as deep learning, in programming languages such as Python, Scala.Directly engage with product managers and collaborators for implementing improvements to and optimizing operational systems for unparalleled scalability, efficiency, and performance.Mentor data scientists and engineers and guide innovative ways.Identify new product engagement opportunities by working closely with collaborators, customers, and team members.What you need to succeed

• MS or PhD in computer science or equivalent experience required.
• 3+ years of work experience specializing in natural language processing, computer vision, machine learning, statistics, generative AI, or related field.
• In-depth understanding of probability, statistics and machine learning, NLP or computer vision techniques, and model architectures (e.g., transformers, diffusion models, LLMs, vision language models, etc.)
• Proficient in data structures, and algorithms, along with software engineering guidelines such as maintaining coding standards, conducting code reviews, testing, and handling build processes.
• Expert programming skills in Python, as well as familiarity with ML frameworks such as PyTorch.
• Experience in developing and deploying machine learning solutions such as large language models and building REST APIs to expose their outcomes to UI.
• Experience with cloud computing platforms such as Azure and AWS and containerization tools, e.g., Docker and Kubernetes.Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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 $142,700 -- $257,600 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 will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.Internal OpportunitiesCreativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe!Put your best foot forward:
• Update your Resume/CV and - don't forget to include your uniquely 'Adobe' experiences and volunteer work.
• Visit the on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.
• Check out these to help you prep for interviews.
• If you are applying for a role outside of your current country, ensure you review the on Inside Adobe, including the impacts to your .Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.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 and explore the meaningful we offer.Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact .
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Keywords: Adobe Systems GmbH, Gilroy , Machine Learning Engineer, Engineering , San Jose, California