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FanDuel

Senior Machine Learning Engineer

FanDuel · Atlanta, Georgia, United States; New York City

Posted about 3 months ago · $138,000 - $181,650

or apply directly on FanDuel's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
FanDuel's roles stay open a median of 79 days
Reposted
No
Salary listed
Yes
74% of FanDuel's roles list one
Ghost-job risk at FanDuel
high
86 stale, 4 reposted of 86 open
Hiring momentum
140 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from FanDuel's own greenhouse board since 2026-08-03. Full hiring picture for FanDuel.

About this role

As a Senior Machine Learning Engineer at FanDuel, you will leverage large volumes of real-time and relational data to enhance user experiences and drive business insights. Your role will involve designing intelligent search systems, developing scalable ML and GenAI models, and collaborating with various teams to productionize AI insights. You will also focus on data governance and continuous integration of production data products while mentoring junior engineers.

Our read on this posting3.8out of 5
benefits
4/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of FanDuel as an employer.

What you need

  • 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
  • 1+ Years of Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
  • 1+ Years of Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
  • 1+ Years of Experience combining outputs from multiple retrieval systems to improve relevance
  • 1+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability
  • Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.)

Nice to have

  • Experience with Databricks
  • Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows

What you get

  • Array of health plans including programs for fertility and family planning, mental health support, and fitness benefits
  • Generous paid time off (PTO & sick leave)
  • Annual bonus and long-term incentive opportunities based on performance
  • 401k with up to a 5% match
  • Commuter benefits
  • Pet insurance

Worth weighing

  • No specific mention of the tech stack beyond ML frameworks and cloud services
  • The role may involve working with legacy systems as it transitions to a big data environment
  • The salary range is broad and dependent on various factors, which may affect negotiation

Summarised from FanDuel's posting. Read the full original.

Listed by FanDuel on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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