What are the responsibilities and job description for the Machine Learning Engineer position at Underdog Sports?
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 $190,000 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
Salary : $150,000 - $190,000
