Senior Machine Learning Engineer

FanDuel

Atlanta, Georgia, United States
Base: $138,000 - $181,650 usd; bonus/equity: annua...
On-site
5-7+ years software development experience
1+ year vector search or semantic search implementation
1+ year typeahead/autocomplete system integration
This role serves as a linchpin between engineering teams to productionize AI-powered insights and build world-class personalized experiences

Job Summary

  • This role serves as a linchpin between engineering teams to productionize AI-powered insights and build world-class personalized experiences.
  • The team focuses on designing intelligent search systems that combine typeahead, vector search, and ML signals to optimize user relevance.
  • FanDuel offers comprehensive benefits including $0 health plans, generous PTO, 401k matching, and opportunities for career growth in skill-based tracks.

Matching Summary

This role serves as a linchpin between engineering teams to productionize AI-powered insights and build world-class personalized experiences.

Salary

Base: $138,000 - $181,650 USD; Bonus/Equity: Annual bonus and long-term incentive opportunities available; Benefits: Medical, vision, dental, life, disability, 401k match up to 5%, pet insurance

Skills & Requirements

Must-have

  • 5-7+ years software development experience
  • 1+ year vector search or semantic search implementation
  • 1+ year typeahead/autocomplete system integration
  • Deploying ML and GenAI/LLM models at scale
  • Experience with Python, Java, Scikit-learn, PyTorch
  • Cloud services like AWS SageMaker or Databricks
  • Building scalable software architecture

Nice-to-have

  • Experience with Databricks Unity Catalog
  • Vector database expertise for RAG workflows
  • Familiarity with LangChain and Hugging Face
  • Leadership in technical direction setting
  • Motivating junior engineers on best practices
  • Experience with Tableau, Knime, or Looker

Key Requirements

  • 5-7+ years relevant coding experience
  • 1+ year experience with vector search systems
  • 1+ year experience with typeahead/autocomplete
  • 3+ years technical leadership experience
  • 4+ years software architecture design experience
  • Hands-on experience with ML frameworks (PyTorch, TensorFlow)
  • Experience deploying models under scalability constraints

Work Rights

Not specified

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