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Machine Learning Engineer 4

Company: Adobe
Location: San Jose
Posted on: March 26, 2025

Job Description:

Machine Learning Engineer page is loadedMachine Learning EngineerApply locations San Jose time type Full time posted on Posted 5 Days Ago job requisition id R154278Our CompanyChanging 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!The 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!Responsibilities

  • Innovate, 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.
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Keywords: Adobe, San Jose , Machine Learning Engineer 4, Engineering , San Jose, California

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