Machine Learning Engineer

July 4

Apply Now

Receive Emails with Similar Jobs

SupportLogic

WebsiteLinkedInAll Job Openings

The world’s first support experience platform that enables companies to understand and act on the voice of the customer.

51 - 200

💰 $50M Series B on 2021-10

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

Requirements

• 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