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FanDuel

Staff Machine Learning Engineer - Search

FanDuel · New York City

Posted about 3 months ago · $159,000 - $208,950

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 Staff Machine Learning Engineer at FanDuel, you will be responsible for developing and optimizing machine learning systems that enhance real-time personalization and search functionalities across their gaming products. Your role will involve collaborating with engineering teams to build scalable architectures, driving technical strategy, and mentoring junior engineers while ensuring data security and compliance. You will also engage in the end-to-end ownership of ML systems, from ideation to production, tackling complex challenges in ranking and retrieval.

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

  • 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
  • 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
  • 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
  • 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
  • 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
  • 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices

Nice to have

  • 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 deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
  • Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
  • Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)

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 technology stack beyond ML and search systems, which may imply a need for adaptability to new tools and frameworks.
  • The role may involve complex and ambiguous problem spaces, which could be challenging for some candidates.
  • The position is hybrid, which may require in-office presence depending on company needs.

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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