Senior Machine Learning Engineer

Underdog Sports

4.8

(18)

Brooklyn, NY (Remote)

Why you should apply for a job to Underdog Sports:

  • Ranked as one of the Best Companies for Women in 2023
  • 4.8/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 83% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • We have have a connected virtual first culture with a highly engaged distributed workforce.
  • We're the fastest-growing sports gaming company ever. Joining Underdog can catapult your career.
  • We offer unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
  • #4598728005

    Position summary

    fun.

    Join us.

    About the role and why it's unique:

    • 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

    Who you are:

    • At least 5 years of experience with model lifecycle (optimization, training and serving) in a cloud environment
    • Advanced proficiency with Python and SQL
    • Strong proficiency with SageMaker, Vertex AI, Databricks, Kubeflow and/or comparable ML platforms or technologies
    • Highly focused on delivering results for the Data Science team in a fast-paced, entrepreneurial environment
    • Knowledge of statistical concepts such as univariate and bivariate distributions, regression models, and binomial models
    • Experience with data technologies like Airflow, Dagster, Spark, and/or dbt

    Even better if you have:

    • Strong interest in sports

    • Prior experience in the sports betting industry

    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

    This position may require sports betting licensure based on certain state regulations.

    Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.

    Why you should apply for a job to Underdog Sports:

  • Ranked as one of the Best Companies for Women in 2023
  • 4.8/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 83% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • We have have a connected virtual first culture with a highly engaged distributed workforce.
  • We're the fastest-growing sports gaming company ever. Joining Underdog can catapult your career.
  • We offer unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)