Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Underdog, you will develop and deploy advanced machine learning models and algorithms in a cloud environment, contributing to innovative sports gaming products.

In Short

• Develop and deploy machine learning models on a cloud platform.
• Implement end-to-end machine learning pipelines.
• Measure model performance and accuracy in production.
• Maintain monitoring and logging mechanisms for ML systems.
• Utilize various machine learning algorithms for production systems.
• Collaborate with engineering and product teams.
• Mentor junior engineers and lead technical initiatives.
• Research and implement emerging ML technologies.

Requirements

• 4+ years of experience in ML model training and inference.
• Strong focus on delivering results in a fast-paced environment.
• Excellent leadership and communication skills.
• Experience with ML libraries like TensorFlow and PyTorch.
• Familiarity with containerization technologies like Docker.
• Experience with data streaming frameworks.
• Advanced proficiency in C++ and Python.
• Advanced proficiency in SQL.
• Experience with CI/CD and infrastructure-as-code tools.

Benefits

• Unlimited PTO with flexibility.
• 16 weeks of paid parental leave.
• $500 home office allowance.
• Connected virtual culture with a distributed workforce.
• 5% 401k match and comprehensive health benefits.