Remote Senior Machine Learning Research Engineer Job in United States Underdog Fantasy

Who you are

• At least 5 years of experience building low latency systems on a cloud environment (e.g. AWS GCP Azure)
• Highly focused on delivering results for internal and external stakeholders in a fast-paced entrepreneurial environment
• In depth knowledge of statistical concepts such as univariate and bivariate distributions regression models and binomial models
• Advanced proficiency with C++ Rust or Go
• Experience with data streaming frameworks such as Apache Kafka Apache Flink or Kinesis
• Familiarity with containerization and orchestration technologies such as Docker Kubernetes or ECS
• Excellent leadership and communication skills with ability to influence and collaborate with stakeholders

Desirables

• Strong interest in sports
• Prior experience in the sports betting industry
• Experience in building simulation or inference systems

What the job involves

• Developing and designing low latency ML inference systems for real-time updates on the UD application
• Build internal tools and services to accelerate UD’s model building and deployment process
• Write sophisticated and fast low latency applications for complex data science infrastructure
• Build frameworks to measure and analyze model performance and accuracy in production environments
• Mentor junior engineers lead technical initiatives and drive results in a fast-paced dynamic environment
• Lead code reviews provide constructive feedback and evangelize best practices to maintain code and data quality
• Research and keep up to date on emerging ML technologies and trends and focus on iteratively implementing them into Underdog’s engineering systems