Staff Machine Learning Engineer Search

FanDuel

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profile Job Location:

Atlanta, GA - USA

profile Monthly Salary: $ 159000 - 208950
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

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

At FanDuel data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization delivering billions of recommendations per day and search powering high-scale low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex still-evolving challenges in ranking relevance retrieval and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make every bet every touchdown every fumble and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions outpacing our competition.

Collaboration is at the core of your role. Youll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. Youll also be working with Data Scientists and Analysts to productionize analyze and validate AI powered insights. You will be asked to help organize model and present our data as a coherent product and offer it to our stakeholders providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.

We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you read on we want to hear from you!

In addition to the specific responsibilities outlined above employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

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

  • Designing and implementing intelligent search systems incorporating typeahead search vector search and ML personalization signals to optimize relevance and user experience with end-to-end ownership from ideation to production
  • Building and scaling multi-layer serving architectures for ML and GenAI/LLM models making key architectural decisions in ambiguous problem spaces
  • Driving the design and evolution of platform capabilities (e.g. CLI SDK Infra Automation Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
  • Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
  • Applying best practices in data security privacy (e.g. GDPR CCPA) governance and data testing frameworks to ensure reliable and compliant data products
  • Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability reliability and cost-efficiency
  • An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
  • Advance your career within well-defined skill-based tracks either as an individual contributor or as a manager both providing equal opportunities for compensation and advancement
  • Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
  • Set engineering standards and mentor junior engineers elevating team practices in system design reliability automation data quality and operational excellence

THE STATS
What were looking for in our next teammate

Required Qualifications

  • 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 (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch Elasticsearch etc
  • 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
  • 1 years of experience conducting design reviews and setting engineering standards within a team
  • Experience with data and streaming technologies (e.g. Spark Flink Kafka Airflow Terraform)
  • Experience working in cloud environments such as AWS GCP or Azure
  • Experience designing and building data pipelines for production ML and GenAI/LLM systems
  • Strong understanding of data structures distributed systems and software engineering principles
  • Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
  • Ability to communicate technical concepts and insights effectively through dashboards data models or design artifacts
  • Track record of mentoring engineers and elevating team-wide engineering practices and technical quality

Preferred Qualifications

  • 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 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.)

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: Americas #1 Sportsbook FanDuel Sportsbook; its leading iGaming platform FanDuel Casino; the industrys 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 companys affiliates have offices worldwide including in Ireland Portugal Romania and Australia.

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


PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning mental health support and fitness benefits. We offer 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 and more - check out all our benefits here:FanDuel Total Rewards. *Benefits differ across location role and level.

FanDuel 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 any 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 $159000 - $208950 USD 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.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please email.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid


Required Experience:

Staff IC

THE POSITIONOur roster has an opening with your name on itAt FanDuel data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems...
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