Senior Machine Learning Engineer
@ FanDuel

Atlanta, Georgia, United States
$160,000
On Site
Full Time
Posted 20 hours ago

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Job Details

About FanDuel

FanDuel Group is the premier mobile gaming company in the United States and Canada. It comprises leading brands in sports betting, iGaming, horse racing, daily fantasy sports, and TV broadcasting through FanDuel TV and FanDuel TV+.

Based in New York with offices in Los Angeles, Atlanta, Jersey City, Canada, Scotland, and other global locations, FanDuel is a subsidiary of Flutter Entertainment, traded on the NYSE (FLUT).

The Position

As a Senior Machine Learning Engineer at FanDuel, you will harness real-time and relational data to deliver world-class, personalized experiences. You will enable rapid, informed decisions by integrating data engineering with ML insights, collaborating across engineering teams, data scientists, and analysts while productionizing and validating AI driven solutions.

The Game Plan

  • Build and scale ML and GenAI/LLM serving architectures.
  • Develop platform features such as CLI, SDK, Infra automation.
  • Ensure data security, privacy, governance, and testing frameworks.
  • Mentor junior engineers and drive technical leadership.
  • Operate in a cloud environment leveraging tools like AWS, Databricks, Kafka, and more.

The Stats

Candidates should have 5-7+ years coding experience, 1+ years deploying ML and GenAI/LLM models, significant leadership in technical projects, and deep proficiency in ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and cloud services.

Player Benefits

FanDuel offers comprehensive health plans, generous PTO, annual bonuses, 401k matching, commuter benefits, pet insurance, and more. They are an equal opportunity employer committed to diversity and inclusion.

Key skills/competency

  • Machine Learning
  • Data Engineering
  • Cloud Services
  • Python
  • Scalability
  • GenAI
  • Data Pipelines
  • Leadership
  • Distributed Computing
  • Production ML
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How to Get Hired at FanDuel

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant ML and cloud projects.
  • Research FanDuel: Understand the company and its brands.
  • Emphasize technical leadership: Detail experiences in scalable architectures.
  • Prepare for technical interviews: Review ML frameworks and cloud concepts.
  • Showcase past impact: Quantify results of your projects.

📝 Interview Preparation Advice

Technical Preparation

Review ML frameworks and cloud service documentation.
Practice coding problems in Python and Java.
Set up a small-scale ML pipeline project.
Study distributed computing and scalable architecture.

Behavioral Questions

Describe a challenging ML project collaboration.
Explain your leadership in technical decisions.
Discuss handling project setbacks and feedback.
Share a situation requiring rapid decision-making.

Frequently Asked Questions