1 day ago
Base Salary
$152k - $265k/yr
Responsibilities
- Design, develop, and deploy content understanding, semantic matching, retrieval, and multi-objective ranking models for multimodal content.
- Build representation learning systems using LLMs, vision-language models, embedding models, and multimodal foundation models.
- Develop scalable retrieval and ranking systems for search, recommendations, content discovery, and agentic workflows.
- Train, fine-tune, and optimize models using large-scale behavioral, content, and synthetic datasets.
- Create evaluation frameworks, benchmarks, and experimentation methods for relevance, ranking quality, retrieval effectiveness, and user impact.
- Manage the full ML systems lifecycle from data preparation and model development through deployment, monitoring, and continuous improvement.
- Collaborate with Adobe Research, product teams, and engineering organizations to productionize research innovations.
Requirements
- Experience building and deploying machine learning systems in production.
- Experience with retrieval, recommendation, ranking, search relevance, or semantic matching systems.
- Knowledge of representation learning, metric learning, transformer architectures, multi-objective optimization, and large-scale model training.
- Experience with LLMs, embedding models, vision-language models, or multimodal foundation models.
- Strong software engineering skills with proficiency in Python and experience with ML services and infrastructure.
- Experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, Hugging Face, Ray, or Spark.
- Experience designing and analyzing offline and online evaluations, including A/B testing and relevance metrics.
- Familiarity with distributed training, large-scale data processing, and MLOps methodologies.
- Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field, or equivalent experience.
- Preferred experience owning ML system projects, multimodal representation learning, vector search, approximate nearest neighbor systems, retrieval-augmented architectures, learning-to-rank, search quality evaluation, agentic AI systems, publications, or open-source contributions.
Benefits
- U.S. base pay range is $151,800–$265,350 annually, with a California range of $183,300–$265,350.
- Eligible roles may receive an Annual Incentive Plan award and long-term new-hire equity award.
- Adobe provides comprehensive benefits programs and emphasizes employee empowerment, accessibility, inclusion, and community.
- Interview candidates may not use AI or recording tools during live interviews unless explicitly invited or approved as an accommodation.
Tech Stack
Categories
About Adobe
Adobe empowers everyone, everywhere to imagine, create, and bring any digital experience to life. From creators and students to small businesses, global enterprises, and nonprofit organizations — customers choose Adobe products to ideate, collaborate, be more productive, drive business growth, and build remarkable experiences.