Senior Machine Learning Engineer

FanDuel Group

Atlanta, Georgia, United States
Base: $138,000 - $181,650 usd; bonus/equity: annua...
On-site
5-7+ years software development experience
Vector search and semantic retrieval systems
Typeahead and autocomplete integration
This role serves as a linchpin between engineering teams to build online applications and upstream data landing for feature engineering

Job Summary

  • This role serves as a linchpin between engineering teams to build online applications and upstream data landing for feature engineering.
  • The team focuses on designing intelligent search systems incorporating typeahead, vector search, and ML personalization signals to optimize user experience.
  • FanDuel offers comprehensive benefits including health plans starting at $0 per paycheck, generous PTO, and a 401k match up to 5%.

Matching Summary

This role serves as a linchpin between engineering teams to build online applications and upstream data landing for feature engineering.

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, PTO, sick leave

Skills & Requirements

Must-have

  • 5-7+ years software development experience
  • Vector search and semantic retrieval systems
  • Typeahead and autocomplete integration
  • ML and GenAI model deployment at scale
  • Python, Java, or similar core languages
  • Scalable architecture design for LLM workflows

Nice-to-have

  • Experience with Databricks Unity Catalog
  • Vector database management for RAG workflows
  • Knowledge of Tableau, Knime, or Looker
  • Mentoring junior engineers on best practices
  • Familiarity with Terraform and Airflow

Key Requirements

  • 5-7+ years relevant coding experience
  • 1+ year vector search implementation experience
  • 1+ year typeahead system experience
  • 1+ year ML/GenAI model deployment experience
  • 3+ years technical leadership experience
  • Cloud environment experience (AWS, GCP, Azure)

Work Rights

Not specified

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