Senior Machine Learning Engineer

FanDuel

Atlanta, Georgia, US
Base: $138,000 - $173,000 usd; bonus/equity: annua...
On-site
Designing and implementing intelligent search systems
Scalable serving systems for ml and genai/llm models
Productionizing ai powered insights
As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data to provide business insight and personalized customer experiences

Job Summary

  • As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data to provide business insight and personalized customer experiences.
  • You will be designing and implementing intelligent search systems, contributing to scalable serving systems for ML and GenAI/LLM models, and developing platform features for streamlining the ML lifecycle.
  • FanDuel offers a range of benefits including health plans, generous paid time off, annual bonus and long-term incentive opportunities, and 401k with up to a 5% match.

Matching Summary

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data to provide business insight and personalized customer experiences.

Salary

Base: $138,000 - $173,000 USD; Bonus/Equity: annual bonus and long-term incentive opportunities; Benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits

Skills & Requirements

Must-have

  • designing and implementing intelligent search systems
  • scalable serving systems for ML and GenAI/LLM models
  • productionizing AI powered insights
  • real-time and relational data
  • ML frameworks and libraries
  • cloud ML and GenAI/LLM services

Nice-to-have

  • experimenting and staying current
  • inclusive culture that expects excellence
  • advance career within well-defined tracks
  • sharing best practices in system reliability
  • motivate junior engineers on best practices

Key Requirements

  • 5-7+ years of relevant experience
  • 1+ Years of Experience implementing vector search
  • 1+ Years of Experience working with typeahead / autocomplete systems
  • 1+ Years of Experience combining outputs from multiple retrieval systems
  • 1+ Years of experience in deploying ML and GenAI/LLM models
  • 4+ Years of experience designing and building software architecture
  • 3+ Years of experience demonstrating technical leadership

Work Rights

Not specified

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