7+ years of hands-on experience in building NLP and information retrieval systems for commercial applications.
2+ years of experience leading technical initiatives that span multiple teams.
Demonstrated experience in building and deploying high-performance ML systems with attention to latency and throughput requirements.
Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
Experience with large datasets, data pipelines, and deploying ML models to production environments.
Deep understanding of both traditional and vector-based search algorithms.
Excellent communication skills and ability to translate technical concepts into business impact.
Responsibilities:
As a Staff Machine Learning Engineer specializing in Search, you will design, build, and implement NLP-based systems that have a direct impact on user experience.
You'll influence the direction of multiple ML projects and mentor fellow engineers.
Your work will enhance the understanding of receipt data and improve in-app search, ultimately driving user rewards and Fetch's revenue.