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NEXTMOVEFDE careers · United States
Adobe

Machine Learning Engineer 4

AI summary of the role

Senior ML Engineer on Adobe's AI Foundations team within Search, Discovery & Content AI, building multimodal retrieval, ranking, and content understanding systems across Acrobat, Stock, Lightroom, and Creative Cloud.

What you’ll do

  • Design and deploy content understanding, semantic matching, retrieval, and multi-objective ranking models for multimodal content.
  • Build representation learning systems using LLMs, vision-language models, and embedding models.
  • Develop scalable retrieval and ranking systems for search, recommendation, and agentic workflows.
  • Train and fine-tune models on large-scale behavioral, content, and synthetic datasets.

What you’ll bring

  • Experience building and deploying ML systems in production.
  • Experience with retrieval, recommendation, ranking, search relevance, or semantic matching.
  • Knowledge of representation learning, metric learning, transformers, and large-scale training.
  • Experience with LLMs, embedding models, or vision-language models.

Technologies

PyTorch · TensorFlow · JAX · Hugging Face · Ray · Spark · LLMs · vision-language models · embedding models · vector search

About Adobe

Builds creative, document, and enterprise customer-experience software, now embedding Firefly AI and agents across creator and marketer workflows.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

The Opportunity Join Adobe's AI Foundations team within the Search, Discovery & Content AI (SDC) organization and help build the next generation of AI-powered retrieval, matching, ranking, and content understanding systems across Adobe. Our team develops foundational AI capabilities that connect users with the most relevant content across Acrobat, Adobe Stock, Lightroom, Creative Cloud, enterprise repositories, and emerging agentic AI experiences. We work at the intersection of multimodal foundation models, large-scale retrieval systems, ranking, and generative AI. As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that understand text, images, documents, and other content modalities to power search, recommendations, and agentic use cases at Adobe. Your work will shape how millions of users—and increasingly AI agents—discover and interact with
More from the job description

The Opportunity Join Adobe's AI Foundations team within the Search, Discovery & Content AI (SDC) organization and help build the next generation of AI-powered retrieval, matching, ranking, and content understanding systems across Adobe. Our team develops foundational AI capabilities that connect users with the most relevant content across Acrobat, Adobe Stock, Lightroom, Creative Cloud, enterprise repositories, and emerging agentic AI experiences. We work at the intersection of multimodal foundation models, large-scale retrieval systems, ranking, and generative AI. As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that understand text, images, documents, and other content modalities to power search, recommendations, and agentic use cases at Adobe. Your work will shape how millions of users—and increasingly AI agents—discover and interact with content across Adobe's ecosystem. What You'll Do Design, develop, and deploy content understanding, semantic matching, retrieval, and multi-objective ranking models for multimodal content across Adobe products. Build representation learning systems using LLMs, vision-language models, embedding models, and multimodal foundation models to improve relevance and content understanding. Develop scalable retrieval and ranking systems powering search, recommendation, content discovery, and agentic wor [... source excerpt omitted ...] evance, ranking quality, retrieval effectiveness, and user impact. Partner with Adobe Research, product teams, and engineering organizations to translate innovative research into production capabilities. Operate across the entire ML systems lifecycle, from data preparation and model development to deployment, monitoring, and continuous improvement. Stay ahead with advances in information retrieval, multimodal AI, representation learning, and agentic systems, bringing innovations into Adobe products. What You Need to Succeed Experience building and deploying machine learning systems in production. Experience with retrieval, recommendation, ranking, search relevance, or semanti [... source excerpt omitted ...] ecommender systems, or multimodal AI. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where

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