Staff Machine Learning Engineer - Search

FanDuel

Atlanta, Georgia, US
Base: $159,000 - $208,950 usd; bonus/equity: annua...
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7+ years python or java experience
4+ years scalable software architecture design
2+ years vector search implementation
** FanDuel is seeking a Staff Machine Learning Engineer to enhance their data-driven products by developing and optimizing ML systems for real-time personalization and search functionalities. The role emphasizes collaboration across teams, ownership of production ML systems, and contributions to technical strategy within a fast-paced gaming environment. **

Job Summary

  • You will own critical production ML systems across real-time personalization and search, delivering billions of recommendations daily.
  • The role involves designing intelligent search systems incorporating typeahead, vector search, and ML personalization signals to optimize user experience.
  • FanDuel offers comprehensive benefits including health plans as low as $0 per paycheck, generous PTO, and a 401k match up to 5%.

Matching Summary

Match Score: 75

** FanDuel is seeking a Staff Machine Learning Engineer to enhance their data-driven products by developing and optimizing ML systems for real-time personalization and search functionalities. The role emphasizes collaboration across teams, ownership of production ML systems, and contributions to technical strategy within a fast-paced gaming environment. **

Salary

Base: $159,000 - $208,950 USD; Bonus/Equity: Annual bonus and long-term incentive opportunities based on performance; Benefits: Health plans, PTO, 401k match, commuter benefits, pet insurance

Skills & Requirements

Must-have

  • 7+ years Python or Java experience
  • 4+ years scalable software architecture design
  • 2+ years vector search implementation
  • Experience with AWS OpenSearch or Elasticsearch
  • Building ML platform components and frameworks
  • Data streaming technologies like Spark Kafka Flink
  • Cloud environment experience AWS GCP Azure

Nice-to-have

  • Typeahead autocomplete system experience
  • Combining multiple retrieval systems for relevance
  • Deploying ML models under scalability constraints
  • Hands-on Scikit-learn PyTorch TensorFlow experience
  • Familiarity with LLM frameworks and platforms
  • Inclusive culture prioritizing engineer growth

Key Requirements

  • 7+ years relevant coding experience
  • 4+ years scalable architecture experience
  • 2+ years vector search experience
  • 2+ years platform component experience
  • 1+ years technical direction experience
  • 1+ years cross-functional collaboration experience
  • 1+ years design review experience

Work Rights

Not specified

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