Steel Perlot is hiring a

Machine Learning Engineer (StarX)

London, United Kingdom

StarX is building the financial infrastructure to transform human capital into a liquid alternative asset class.  It provides the platform, analytics, funding and investing ecosystem necessary for retail and institutional investors to invest in sports talent and identify future stars. Our aim is to build the best sport analytics engine, and we are looking for individuals with vision, innovation, passion, technical excellence, drive to deliver, collaboration, and execution that can help accelerate our goal.

Our goal is to enable people to answer the question: What if you could invest in the people who impact and change your world? We are looking for an experienced Machine Learning Engineer to create algorithms and predictive models utilizing Machine Learning to help organize the data to support the StarX platform. 

Role Description

As a Machine Learning Engineer, you will develop algorithms, 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’ll Do

  • Develop and implement machine learning models to analyze soccer player data and predict player performance / outcomes
  • Build datasets and develop feature engineering pipelines for player data
  • Collaborate with data analysts and data scientists to design and execute experiments
  • Stay up-to-date with the latest machine learning techniques
  • Communicate findings and insights to team and provide recommendations for improving performance and strategy
  • Ideate, develop and improve machine learning and statistical models that drive StarX's core algorithms for producing state-of-the-art sports betting products
  • Develop contextualized feature sets using sports specific domain knowledge
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts
  • Adhere to software engineering best practices and contribute to shared code repositories
  • Document modeling work and present to stakeholders and other technical and non-technical partners

What You’ll 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 

Salary Range:

$150,000 - $250,000 (DOE)

Why Join?
 
We’re currently looking for individuals with vision, innovation, passion, technical excellence, drive to deliver, collaboration, and execution. Join a team of like minded people who personify our mission of ownership, craftsmanship, and open communication.
  • Competitive base salary and total compensation package
  • Comprehensive Health insurance for employee, partner and dependents
  • 401k company match
  • Generous Paid parental leave, Paid vacation
  • Commuting benefits
  • Training and professional development
  • Inspiring startup environment.
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

I-AA1

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