
Gaming • Sports • B2C
Underdog Fantasy is a company specializing in fantasy sports and sports betting. Despite the technical issue mentioned in the text, it provides a platform where users can engage in fantasy sports contests, draft teams, and potentially win prizes based on the performance of real-world athletes. The company's focus is on providing a fun and competitive experience for sports fans who want to test their skills and luck in fantasy leagues and sports-related betting.
201 - 500 employees
🎮 Gaming
⚽ Sports
👥 B2C
November 25
🇺🇸 United States – Remote
💵 $135k - $165k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer

Gaming • Sports • B2C
Underdog Fantasy is a company specializing in fantasy sports and sports betting. Despite the technical issue mentioned in the text, it provides a platform where users can engage in fantasy sports contests, draft teams, and potentially win prizes based on the performance of real-world athletes. The company's focus is on providing a fun and competitive experience for sports fans who want to test their skills and luck in fantasy leagues and sports-related betting.
201 - 500 employees
🎮 Gaming
⚽ Sports
👥 B2C
• As a Machine Learning Engineer on the Data Engineering team, you’ll partner closely with the Data Science team to build out our foundational Machine Learning platform • Build internal tools and services to accelerate UD’s model building and deployment process • Build frameworks to measure and analyze model performance and accuracy in production environments • 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
• At least 3 years of experience with model lifecycle (optimization, training and serving) in a cloud environment • Advanced proficiency with Python and SQL • Experience with with big data tools including Spark, Flink, Databricks, Snowflake, S3 • Strong proficiency with SageMaker, Vertex AI, Databricks, Kubeflow and/or comparable ML platforms or technologies • Experience building recommendation systems • Highly focused on delivering results for the Data Science team in a fast-paced, entrepreneurial environment
• Unlimited PTO for full-time employees (we're extremely flexible with the exception of the first few weeks before & into the NFL season) • 16 weeks of fully paid parental leave • Home office stipend • 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
Apply NowNovember 25
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