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 datasets to enhance user experiences and drive business insights. Your role involves collaborating with engineering teams to build scalable systems, implementing ML models, and ensuring data governance. You will also work closely with Data Scientists to productionize AI insights and contribute to the development of intelligent search systems and data pipelines.
- 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 (e.g., vector search + typeahead + personalization models) 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.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers, etc)
Nice to have
- Experience with Databricks is a plus, their unity catalog, another plus
- Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus
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 remote work options or flexibility in work location
- The role may require keeping up with rapidly changing ML engineering tools and practices, which could demand continuous learning and adaptation
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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