Staff Machine Learning Engineer- ML/AI Platforms

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

THE POSITION
Our roster has an opening with your name on it

We are looking for a Staff AI Solutions Engineer to shape FanDuel’s strategic AI architecture and deliver scalable platforms for the next generation of intelligent products.

As a senior member of the team, you’ll define technical strategy, mentor engineers, and architect end-to-end generative-AI solutions that transform how FanDuel leverages data. The ideal candidate is a strong problem solver, a team player, and someone who brings both technical depth and a collaborative mindset to every challenge.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

THE GAME PLAN
Everyone on our team has a part to play

Prototype & Build Generative AI Solutions

· Architect and lead development of enterprise-grade RAG pipelines, agentic workflows, and domain-specific copilots.

· Integrate foundation models (Anthropic, OpenAI) at scale, ensuring reliability, cost efficiency, and security.

· Leverage domain-specific data to fine-tune, distill, and continuously evaluate model outputs.

· Drive creation of experimental tooling that unlocks data across FanDuel and accelerates innovation.

· Establish robust feedback loops measuring accuracy, intent alignment, safety, and user satisfaction.

Deliver High-Quality, Reliable Applications

· Define performance targets and optimize AI systems for latency, throughput, and responsiveness.

· Advance prompt-engineering, embedding-tuning, and model-compression strategies.


· Build observability by default—design logging, tracing, evaluation dashboards, and feedback pipelines.


· Own and extend organization-wide dashboards for AI performance, ethics, and compliance metrics.


· Lead monitoring of hallucinations, bias, policy violations; enforce safe-by-design standards.

Contribute to Engineering Excellence

· Define and promote reusable patterns for AI integration, observability, and governance.

· Participate in architecture reviews, technical design discussions, and internal RFCs.

· Help scale our Foundation AI Platform and ensure experimentation leads to production-ready standards.

Collaborate & Communicate

· Partner with product and executive leadership to prioritize high-impact AI initiatives.


· Translate complex technical trade-offs into clear, actionable insights for all stakeholders.


· Mentor engineers, foster an inclusive culture, and champion crawl-walk-run experimentation across FanDuel.

THE STATS
What we're looking for in our next teammate

8+ years of experience in software, ML, or AI engineering, including ownership of large-scale generative-AI systems.

· Expert-level Python and deep knowledge of LangChain, LlamaIndex, or similar frameworks.

· Mastery of RAG architectures, embedding pipelines, advanced model-evaluation, and A/B testing.

· Proven track record building observability stacks—logs, traces, metrics, human-in-the-loop feedback—for AI products.

· Hands-on leadership in LLM safety, governance, policy alignment, and responsible-AI standards.

· Cloud-native architecture expertise with AWS (SageMaker, Bedrock, Lambda); strong data warehouse and database experience.

· Demonstrated ability to design infra-scalable, cost-efficient AI platforms and guide MLOps best practices.

Preferred Skills

· Thought leadership in hybrid retrieval, vector-search innovation, or multi-modal embeddings.

· Experience crafting intuitive UIs for AI observability or prompt-driven tools.

· Deep engagement with AI governance, privacy, and compliance frameworks.

· Success building AI in tightly regulated environments (e.g., gaming, finance).

· Advocacy for ethical, explainable, and user-centric AI across broad stakeholder groups.

PLAYER BENEFITS

We treat our team rightFanDuel is an equal opportunities employer, and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $158,000-$208,000, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

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