Senior Machine Learning Engineer @ Underdog Fantasy | Jobright.ai
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Underdog Fantasy · 2 days ago

Senior Machine Learning Engineer

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Fantasy SportsGaming

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningLow latency systemsC/C++AWSSQLSageMakerDatabricksApache KafkaDockerKubernetesStatistical conceptsInterest in sportsSports betting experience

Required

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

Preferred

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

Benefits

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
5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

Company

Underdog Fantasy

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Underdog Fantasy is platform designed for drafting football lineups for fantasy leagues.

Funding

Current Stage
Growth Stage
Total Funding
$45M
Key Investors
BlackRockKevin CarterMark Cuban
2022-07-26Series B· $35M
2021-05-03Series A· $10M
2020-10-14Seed· Undisclosed

Leadership Team

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Brandon Stakenborg
Founder & CEO
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Jeremy Levine
Founder, CEO
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Company data provided by crunchbase
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