Machine Learning Engineer

Job Description

• Create and leverage cutting-edge ML models that extract signals from unstructured data • Increase velocity of ML model deployment into production through automation • Enrich and automate model validation to increase confidence of model rollouts • Provide insight into accuracy and relevance of ML model predictions by measuring and monitoring data distributions and user engagement/feedback • Incorporate user feedback/activity into new ML model training by automation of data collection, model retraining, model measurement, etc. • Provide internal tools or incorporate commercial tools (e.g., ClearML) into data scientist workflows for boosting ML team productivity • Bridge the gap between ML research and production-grade backend code by integrating new ML models or APIs into production

Qualifications

• B.S. degree or equivalent in Computer Science, Mathematics, or similar field of study. • 2+ years of professional experience as a Machine Learning Engineer building ML products • 1+ years of experience deploying NLP solutions to production environments • Strong proficiency in software development and system design • Fluent in Python • Experienced with common Python data science libraries such as PyTorch, HuggingFace, Pandas, numpy and scikit-learn • Experienced with the lifecycle of model training, evaluation, and deployment • Experienced with using SQL

Benefits

• Outstanding healthcare (medical, dental, and vision) covered at 100% for employee+ family • 401K • Equity (stock options) • Unlimited PTO where you're encouraged to take to recharge • Remote 1st, collaborative, and transparent culture