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Machine Learning Engineer

Company Name: 
Los Angeles, San Francisco, or New York City, California or New York
Type of Company:
Sports Company
Position Type:
Contact Name: 
Anthony Altieri
Contact Email:
Date Posted:
March 3, 2023
Anticipated Start Date:
April 3, 2023

Position Description

As a Machine Learning Engineer, you will develop datasets and models to predict the performance, salaries, and future prospects of rising soccer stars. The ideal candidate will have a deep understanding of machine learning algorithms, a passion for soccer, and experience  working with soccer-related data.What You‚Äôll DoDevelop and implement machine learning models to analyze soccer player data and predict player performance / outcomesBuild datasets and develop feature engineering pipelines for player dataCollaborate with data analysts and data scientists to design and execute experimentsStay up-to-date with the latest machine learning techniquesCommunicate findings and insights to team and provide recommendations for improving performance and strategy

Desired Qualifications

"What You‚ Will Bring To The Table
3+ years of experience in machine learning engineering, with a focus on developing and deploying models
Strong programming skills in Python, R, or Java
Strong understanding of machine learning algorithms and statistical concepts
Experience with machine learning frameworks
Passion for soccer and experience working with soccer-related data
Strong problem-solving skills and ability to think critically and creatively
Strong communication skills and ability to work collaboratively with team members

Nice To Haves
Experience with big data technologies
Familiarity with soccer-specific data sources
Experience working in a startup environment
Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib
Experience with big data technologies"

How to Apply

Please use the link to submit a resume directly to the hiring team: https://boards.greenhouse.io/steelperlotmanagementllc/jobs/4218485005#app