Senior Machine Learning Engineer

About the role and why it’s unique:

• As a Senior Machine Learning Engineer on the Data Platform team, you’ll be developing and designing low latency Machine Learning (ML) inference systems to enable real time updates on the UD application
• Build internal tools and services to accelerate UD’s model building and deployment process
• Write low latency application code that are sophisticated and fast 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
• Keep up to date on emerging ML technologies and trends and focus on iteratively implementing them into Underdog’s engineering systems

Who you are:

• At least 5 years of experience building low latency systems on a cloud environment (e.g. AWS, GCP, Azure)
• Advanced proficiency with C/C++, Rust, or Go
• Familiarity with SQL
• Strong proficiency with SageMaker, Databricks, and/or comparable ML platforms
• 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
• 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

Even better if you have:

• Strong interest in sports
• Prior experience in the sports betting industry
• Experience in building low latency systems or ML inference systems

Our target starting base salary range for this position is between $150,000 and $170,000 plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.

What we can offer you:

• Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
• 16 weeks of fully paid parental leave
• A $500 home office allowance
• A connected virtual first culture with a highly engaged distributed workforce
• 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents  

#LI-REMOTE