ML Engineer: AI Search & Content Discovery

Adobe; San Jose (CA); On-site; USD 162,000 - 234,000; Full time

Job summary

Adobe is seeking a Machine Learning Engineer in San Jose to design and deploy cutting-edge ML models for AI-powered search, recommendations, and content understanding across Adobe Cloud. The role emphasizes building scalable ML systems and applying RL and deep learning techniques to optimize asset discovery and ranking.

The ideal candidate will hold an MS/PhD, be proficient in Python, Java and C, and have hands-on experience with PyTorch/TensorFlow.

Qualifications

• MS/PhD in Computer Science, Machine Learning or equivalent field.
• Strong understanding of statistical modeling, ML, deep learning, or data analytics concepts.
• Proficient in Python, Java and C.
• Familiar with PyTorch, TensorFlow, and scikit-learn.

Responsibilities

• Build novel machine learning models using deep learning, reinforcement learning, content understanding, language understanding, and more by developing pioneering machine learning algorithms.
• Apply ML/RL to improve content understanding, computer vision, deep learning, language understanding and content ranking & recommendations.
• Build machine learning services to host AI/ML models using technologies such as REST web services, micro-services, ML frameworks, PyTorch, Tensorflow, and LLMs.

Skills

Python

Java

C

PyTorch

Scikit-learn

Deep Learning

Machine Learning

Education

MS/PhD in CS or ML

Tools

REST

Microservices

TensorFlow

Job description

Adobe is seeking a Machine Learning Engineer in San Jose to design and deploy cutting-edge ML models for AI-powered search, recommendations, and content understanding across Adobe Cloud. The role emphasizes building scalable ML systems and applying RL and deep learning techniques to optimize asset discovery and ranking.

The ideal candidate will hold an MS/PhD, be proficient in Python, Java and C, and have hands-on experience with PyTorch/TensorFlow.