Senior Software Engineer – Machine Learning

Senior Software Engineer – Machine Learning

Requirements

• 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 using advanced technologies like Transformers and Language models
• Deep expertise in search relevance, ranking, and retrieval systems, including vector search and multimodal data handling
• Strong programming skills in Python, and familiarity with frameworks like PyTorch and TensorFlow
• Experience with ElasticSearch, HBase, Kafka/SQS, and real-time processing frameworks like Apache Storm
• Knowledge of advanced concepts such as Retrieval Augmented Generation (RAG), multimodal search, and neural agents
• Proven ability to develop scalable, fault-tolerant systems and GPU-based processing pipelines
• Strong analytical skills with a passion for bringing to bear data to drive decisions and improvements

Responsibilities

• Build and Scale AI-Powered Information Retrieval Capabilities: Construct scalable, multimodal, and multilingual search and discovery systems to improve the discovery experience in Adobe’s flagship products.
• Develop Innovative Ranking Models: Build brand new ranking models using technologies like Transformers, Multi-modal Embeddings, and LambdaMART. Optimize these algorithms for relevance and performance.
• Collaborate with Core Services and Integrations: Work closely with product engineering teams to integrate ranking models within RESTful services. Measure quality through offline and online evaluation systems and AB tests.
• Improve retrieval quality with embeddings and vector search.
• Data-Driven Insights and Analytics: Use data analytics to evaluate system performance, understand user feedback, and drive continuous improvements.

Preferred Qualifications

No preferred qualifications provided.