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    Machine Learning Engineer - Washington DC, United States - FanDuel

    FanDuel
    FanDuel Washington DC, United States

    4 weeks ago

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    Description

    FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues.

    The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.

    FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations.

    Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.

    FanDuel Group is a subsidiary of Flutter Entertainment plc, 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).

    At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams.

    We're dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career.

    From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves.

    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.

    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.

    You'll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering.

    You'll 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 Engineers of all skill levels or experienced engineers from other disciplines who may be looking to make the move to a big data environment.

    THE GAME PLANEveryone on our team has a part to playBuilding multi-layer serving architectures for ML modelsBusiness intelligence tools (e.g., Tableau, Knime, Looker)Data security and privacy (e.g.

    GDPR, CPP)Data governance and data testing frameworks.

    Continuous integration and delivery of production data productsAn inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a personAdvance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager - both providing equal opportunities for compensation and advancementApply your experience and intellect as part of an autonomous team with end-to-end ownership of key components of our data architecture.

    Serve as a mentor to more junior engineers not only in cultivating craftsmanship but also in achieving operational excellence - system reliability, automation, data quality, and cost-efficiency.5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)4+ Years of experience designing and building various software architecture.

    Deep understanding and knowledge of data structures and software engineering principles
    3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.

    Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.

    Experience working in a cloud environment such as AWS, GCP, Azure.
    Designing and building data pipelines for production level ML infrastructure.
    Motivate junior engineers on best practices and latest industry design patterns.

    From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give.

    An exciting and fun environment committed to driving real growthOpportunities to build really cool products that fans loveMentorship and professional development resources to help you refine your gameBe well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another

    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 want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance.

    This role includes paid personal time off and 14 paid company holidays.
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