Senior ML Engineer - Multimodal Retrieval & Ranking

Adobe; San Jose (CA); On-site; USD 211,800 - 306,625; Full time

Benefits offered by this job

Comprehensive benefits programs

Innovative company culture

Job summary

Adobe is looking for a Staff Machine Learning Engineer to enhance AI-powered retrieval and ranking systems within the AI Foundations team. You will design and deploy models that enable millions to connect with relevant content across Adobe's suite of products.

With strong experience in building machine learning systems and a deep understanding of modern ML techniques, you will drive the end-to-end lifecycle of models and collaborate with teams to translate innovative research into practical solutions.

Qualifications

• Experience building ML systems in production.
• Deep understanding of ML techniques like transformer architectures.
• Familiarity with distributed training and MLOps.

Responsibilities

• Design and develop semantic matching and ranking models.
• Build scalable retrieval architectures for content discovery.
• Train and optimize machine learning models.

Skills

Machine learning systems experience

Retrieval systems expertise

Strong software engineering

Python proficiency

Experience with LLMs

Education

MS or PhD in Computer Science or related

Tools

PyTorch

TensorFlow

Hugging Face

Spark

Job description

Adobe is looking for a Staff Machine Learning Engineer to enhance AI-powered retrieval and ranking systems within the AI Foundations team. You will design and deploy models that enable millions to connect with relevant content across Adobe's suite of products.

With strong experience in building machine learning systems and a deep understanding of modern ML techniques, you will drive the end-to-end lifecycle of models and collaborate with teams to translate innovative research into practical solutions.