Senior ML Scientist

Adobe transforms the world through digital experiences, providing tools for artists and global brands to design and deliver exceptional digital content.
$142,700 - $257,600
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Senior ML Scientist

Adobe is revolutionizing digital experiences through their Search, Discovery and Content Intelligence (SDC) technology. This role focuses on developing AI-powered search, recommendations, and assistive experiences using cutting-edge technologies. The SDC team powers critical features across Adobe's flagship products including Adobe Express, Stock, Photoshop, Illustrator, Lightroom, Acrobat, and Adobe.com.

As a Senior ML Scientist, you'll be at the forefront of building innovative AI-powered information retrieval systems. You'll work with advanced technologies like Transformers, Multi-modal Embeddings, and LambdaMART to develop and optimize ranking algorithms. The role involves close collaboration with product engineering teams to integrate these models into RESTful services and measure their impact through rigorous evaluation systems.

The ideal candidate brings deep expertise in search relevance and ranking systems, with strong programming skills and experience with modern ML frameworks. You'll be working with technologies like ElasticSearch, HBase, and Kafka while developing scalable, fault-tolerant systems. Your work will directly impact how creative professionals and enterprise users discover and interact with digital assets across Adobe's product ecosystem.

This is an opportunity to shape the future of creative technology at a company that's leading the digital experience revolution. You'll be part of a team that's pushing the boundaries of AI applications in creative software, working with cutting-edge technologies like RAG, multimodal search, and neural agents. The role offers competitive compensation, comprehensive benefits, and the chance to work on products used by millions of creative professionals worldwide.

Last updated 12 days ago

Responsibilities For Senior ML Scientist

  • Build and Scale AI-Powered Information Retrieval Capabilities
  • Develop Innovative Ranking Models
  • Collaborate with Core Services and Integrations
  • Improve retrieval quality with embeddings and vector search
  • Data-Driven Insights and Analytics

Requirements For Senior ML Scientist

Python
Kafka
Redis
  • MS with 8 years of work experience or PhD with 6 years of work experience
  • Hands-on experience in building large-scale search and recommendation rankers
  • Deep expertise in search relevance, ranking, and retrieval systems
  • Strong programming skills in Python, and familiarity with frameworks like PyTorch and TensorFlow
  • Experience with ElasticSearch, HBase, Kafka/SQS, and real-time processing frameworks
  • Knowledge of advanced concepts such as RAG, multimodal search, and neural agents
  • Proven ability to develop scalable, fault-tolerant systems
  • Strong analytical skills

Benefits For Senior ML Scientist

Equity
  • Competitive salary range: $142,700 - $257,600 annually
  • Annual Incentive Plan (AIP)
  • Long-term incentives in the form of equity awards
  • Equal Employment Opportunity

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