Description:

As a Senior Machine Learning Engineer on the Data Platform team, you will be responsible for developing and designing low latency Machine Learning (ML) inference systems to enable real-time updates on the Underdog application.
You will build internal tools and services to accelerate Underdog’s model building and deployment process.
Your role will involve writing low latency application code that is sophisticated and fast for complex data science infrastructure.
You will build frameworks to measure and analyze model performance and accuracy in production environments.
Mentoring junior engineers, leading technical initiatives, and driving results in a fast-paced, dynamic environment will be part of your responsibilities.
You will lead code reviews, provide constructive feedback, and evangelize best practices to maintain code and data quality.
Keeping up to date on emerging ML technologies and trends and focusing on iteratively implementing them into Underdog’s engineering systems will be essential.

Requirements:

You must have 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 is required.
Familiarity with SQL is necessary.
You should have strong proficiency with SageMaker, Databricks, and/or comparable ML platforms.
A highly focused approach to delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment is essential.
In-depth knowledge of statistical concepts such as univariate and bivariate distributions, regression models, and binomial models is required.
Experience with data streaming frameworks such as Apache Kafka, Apache Flink, or Kinesis is necessary.
Familiarity with containerization and orchestration technologies such as Docker, Kubernetes, or ECS is important.
Excellent leadership and communication skills with the ability to influence and collaborate with stakeholders are required.

You will receive unlimited PTO, with flexibility except for the first few weeks before and during the NFL season.
The position offers 16 weeks of fully paid parental leave.
A $500 home office allowance will be provided.
You will be part of a connected virtual-first culture with a highly engaged distributed workforce.
The company offers a 5% 401k match, FSA, and company-paid health, dental, and vision plan options for employees and their dependents.