SupportLogic is hiring a
Machine Learning Engineer

Summary

The job is for a Machine Learning Engineer at SupportLogic SX, a well-funded startup that provides a customer service platform using NLP and ML. The role involves creating and leveraging cutting-edge ML models to improve efficiency and increase customer confidence in the predictions made by the platform. The role is 100% remote for applicants residing in certain states.

Requirements

• A B.S. degree or equivalent in Computer Science, Mathematics, or similar field of study
• 2+ years of professional experience as an MLE, 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

Responsibilities

• Ship - Increase velocity of ML model deployment into production through automation of model management, deployment, and rollout processes
• Validate - Increase confidence of model rollouts by enriching and automating model validation prior to and immediately after deployment
• Measure - Provide insight into accuracy and relevance of ML model predictions in production by measuring and monitoring model input and output data distributions, as well as user engagement/feedback on predictions
• Automate - Incorporate user feedback/activity into new ML model training by automation of data collection, model retraining, model measurement, etc., towards a goal of continuous automated model retraining
• Build - Provide internal tools or incorporate commercial tools (e.g., ClearML) into data scientist workflows for data analysis, feature generation, model development, etc., to boost ML team productivity
• Collaborate - Bridge the gap between ML research and production-grade backend code by working with other engineering teams to integrate new ML models or APIs into production

Preferred Qualifications

• Experience with LLMs in production
• Experienced building APIs in Python, particularly in FastAPI or Flask
• Experienced with using Pytest, Docker, and sqlalchemy
• Experienced with MLOps platforms such as KubeFlow or MLFlow
• Experienced with modern data warehouse such as Snowflake, BigQuery or Hive

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