Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Underdog, the fastest-growing sports gaming company, is revolutionizing the sports fan experience through innovative games and products. Founded in 2020, we've quickly grown to a $500+ million valuation with backing from notable investors like Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We're unique in being the only sportsbook to launch on our own home-grown technology.
As a Senior Machine Learning Engineer on our Data Platform team, you'll be at the forefront of developing sophisticated ML inference systems that power real-time updates in our applications. This role combines cutting-edge machine learning with high-performance computing, requiring expertise in low-latency systems and cloud environments.
You'll have the opportunity to work with modern technologies including cloud platforms, containerization tools, and data streaming frameworks. We're looking for someone who can not only build robust ML systems but also mentor others and drive technical initiatives in our fast-paced environment.
The position offers competitive compensation ($150,000-$190,000 base salary plus equity) and comprehensive benefits including unlimited PTO, parental leave, and full healthcare coverage. We maintain a connected virtual-first culture that emphasizes flexibility and work-life balance.
If you're passionate about sports, technology, and want to be part of building the future of sports gaming, this role offers an exceptional opportunity to make a significant impact in a rapidly growing industry. Join us in our mission to make sports engaging and accessible for everyone.
Responsibilities For Senior Machine Learning Engineer
- Developing and designing low latency Machine Learning inference systems for real-time updates
- Building internal tools and services to accelerate model building and deployment process
- Writing low latency application code for complex data science infrastructure
- Building frameworks to measure and analyze model performance and accuracy in production
- Mentoring junior engineers and leading technical initiatives
- Leading code reviews and maintaining code and data quality
- Keeping up to date with emerging ML technologies and implementing them
Requirements For Senior Machine Learning Engineer
- At least 5 years of experience building low latency systems on cloud environment
- Advanced proficiency with C/C++, Rust, or Go
- Familiarity with SQL
- Strong proficiency with SageMaker, Databricks, and/or comparable ML platforms
- In-depth knowledge of statistical concepts
- Experience with data streaming frameworks
- Familiarity with containerization and orchestration technologies
- Excellent leadership and communication skills
Benefits For Senior Machine Learning Engineer
- Unlimited PTO
- 16 weeks of fully paid parental leave
- $500 home office allowance
- Connected virtual first culture
- 5% 401k match
- Company paid health, dental, vision plan options for employees and dependents
- FSA
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