Senior Machine Learning Engineer

FanDuel

Atlanta, US
$138,000 - $173,000 usd; bonus/equity: annual bonu...
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Designing and implementing intelligent search
Scalable serving systems for ml models
Developing platform features for ml lifecycle
** FanDuel is seeking a Senior Machine Learning Engineer to join their team in Atlanta, where the focus is on leveraging data to enhance user experiences in the mobile gaming space. The ideal candidate will have extensive experience in machine learning, data engineering, and collaboration with cross-functional teams. **

Job Summary

  • At FanDuel, data is the heartbeat of our organization, and as a Machine Learning Engineer, you will help unlock the full potential of our vast amounts of real-time and relational data to provide business insights and world-class personalized experiences.
  • Your expertise will be used to make better and faster decisions, outpacing the competition, and you will be the linchpin between engineering teams, data scientists, and analysts.
  • FanDuel offers amazing benefits above and beyond the basics, including an array of health plans, generous paid time off, annual bonus and long-term incentive opportunities, and a 401k with up to a 5% match.

Matching Summary

Match Score: 75

** FanDuel is seeking a Senior Machine Learning Engineer to join their team in Atlanta, where the focus is on leveraging data to enhance user experiences in the mobile gaming space. The ideal candidate will have extensive experience in machine learning, data engineering, and collaboration with cross-functional teams. **

Salary

$138,000 - $173,000 USD; Bonus/Equity: Annual bonus and long-term incentive opportunities; Benefits: Medical, vision, dental, life, disability insurance, 401k match, PTO, holidays

Skills & Requirements

Must-have

  • designing and implementing intelligent search
  • scalable serving systems for ML models
  • developing platform features for ML lifecycle
  • productionizing AI powered insights
  • Python, Java programming languages
  • ML frameworks and libraries
  • cloud ML/GenAI services
  • software architecture design
  • distributed computing principles
  • data pipelines for ML infrastructure

Nice-to-have

  • experimenting and continuous improvement
  • collaboration with data scientists
  • technical leadership experience
  • inclusive culture and growth
  • Databricks experience a plus
  • vector databases for LLM applications

Key Requirements

  • 5-7+ years of relevant experience
  • 1+ Years of Experience implementing vector search
  • 1+ Years of Experience with typeahead / autocomplete systems
  • 1+ Years of Experience combining retrieval systems
  • 1+ Years of experience deploying ML/GenAI/LLM models
  • 4+ Years of experience designing software architecture
  • 3+ Years of experience demonstrating technical leadership
  • Experience in a cloud environment (AWS, GCP, Azure)

Work Rights

Not specified

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