September 27
• As a Senior Machine Learning Research 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 applications 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 • Research and keep up to date on emerging ML technologies and trends and focus on iteratively implementing them into Underdog’s engineering systems
• 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
• 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
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