FanDuel
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THE POSITION
Our roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a 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 be asked 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. 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 Senior 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!
THE GAME PLAN
Everyone on our team has a part to play
- Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
- Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
- Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
- Business 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 products
- An inclusive culture that expects excellence and priorities 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
- Collaborating with peers and sharing best practices in system reliability, automation, and data quality
ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
THE STATS
What we're looking for in our next teammate
- 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).
- Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
- 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
- Deep understanding and knowledge of data structures, distributed computing, 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, Terraform, Airflow)
- Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
- Conduct regular design process reviews and ensure development standards within the team.
- Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
- Experience working in a cloud environment such as AWS, GCP, Azure.
- Experience with Databricks is a plus, their unity catalog, another plus.
- Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
- 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
- Motivate junior engineers on best practices and latest industry design patterns.
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).
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 $138,000 - $173,000 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 Benefits@fanduel.com.
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.
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You’ll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem.
As a senior member of the team, you’ll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes. 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.
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
Build & Maintain Data Infrastructure
- Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems
- Work with large-scale, complex datasets and ensure data is clean, well-modeled, and accessible across the organization
- Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies
Deliver High-Quality, Reusable Solutions
- Build modular, reusable data models and assets using tools like Spark, dbt or similar frameworks
- Collaborate with stakeholders to understand business needs and translate them into reliable, production-ready data solutions
- Ensure data quality, accuracy, and consistency through validation frameworks and monitoring
Contribute to Engineering Excellence
- Follow and promote software engineering best practices, including testing, version control, documentation, and code reviews
- Actively participate in technical design discussions, and architecture reviews
- Help evolve our data platform and tooling to improve performance, developer experience, and scalability
Collaborate & Communicate
- Partner with data scientists, analysts, and product managers to support data-driven decision-making.
- Clearly communicate technical concepts, project status, and risks to stakeholders
- Share knowledge and mentor junior engineers through code reviews and collaborative problem-solving
THE STATS
What we're looking for in our next teammate
- 5+ years of experience in data engineering or software engineering with a focus on building data pipelines and platforms.
- Strong SQL skills and fluency in at least one programming language (e.g., Python, Scala, or Java).
- Hands-on experience with modern data tools such as Airflow, Spark, dbt, Kafka, or Databricks.
- Deep understanding of data modeling, data warehousing, and best practices for data quality and observability.
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
Preferred Skills
- Experience supporting analytics and machine learning workflows.
- Familiarity with data governance, privacy, and compliance frameworks.
- Experience working in a product-led or customer-centric organization.
- Familiarity with infrastructure-as-code or DevOps practices related to data systems.
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).
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 $138,000 - 181,650 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 Benefits@fanduel.com.
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
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.
The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.
If you’re excited by this challenge and want to work within a dynamic company, then we’d love 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
Build & Maintain Data Pipelines
- Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
- Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
- Ensure data is reliable, accurate, and delivered in a timely manner.
- Lead projects to build or improve well-scoped data products.
Collaborate Across Teams
- Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
- Translate business questions into engineering tasks and contribute to technical planning.
- Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
- Contribute to team wide best practices.
Data Quality & Operations
- Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
- Driving reliability and continuous improvement of data platforms and pipelines.
- Implement data quality checks and contribute to observability and testing practices.
- Document data sources, transformations, and architecture decisions to support long-term maintainability.
THE STATS
What we're looking for in our next teammate
- 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
- Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
- Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
- Experience working with cloud-based data platforms (AWS, GCP, or Azure).
Preferred Qualifications
- Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to the growth of the team.
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).
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 $116,000 - $152,250 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 Benefits@fanduel.com.
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
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a 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 be asked 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. 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 Senior 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!
THE GAME PLAN
Everyone on our team has a part to play
- Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
- Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
- Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
- Business 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 products
- An inclusive culture that expects excellence and priorities 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
- Collaborating with peers and sharing best practices in system reliability, automation, and data quality
ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
THE STATS
What we're looking for in our next teammate
- 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).
- Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
- 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
- Deep understanding and knowledge of data structures, distributed computing, 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, Terraform, Airflow)
- Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
- Conduct regular design process reviews and ensure development standards within the team.
- Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
- Experience working in a cloud environment such as AWS, GCP, Azure.
- Experience with Databricks is a plus, their unity catalog, another plus.
- Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
- 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
- Motivate junior engineers on best practices and latest industry design patterns.
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).
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 $138,000 - $173,000 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 Benefits@fanduel.com.
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.
Ready to apply?
Apply to FanDuel
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. 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 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 we're 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: 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).
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 $159,000 - $208,950 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 Benefits@fanduel.com.
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
Ready to apply?
Apply to FanDuel
Our roster has an opening with your name on it
We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.
This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution.
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
Team Management & Growth
- Lead a team of data engineers through coaching, mentorship, and technical guidance
- Support individual career development and performance feedback, creating growth opportunities for your team
- Foster a collaborative, inclusive, and high-performance team culture
Technical Oversight & Delivery
- Guide the design and implementation of scalable data pipelines, platforms, and data products
- Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
- Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices
Cross-Functional Collaboration
- Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
- Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
- Communicate clearly across technical and non-technical teams to align on priorities and progress
Operational Excellence
- Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
- Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
- Drive continuous improvement in development workflows and team productivity
THE STATS
What we're looking for in our next teammate
- 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
- Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
- Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
- Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
- Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).
- Strong communication and collaboration skills with a passion for working across teams.
Preferred Skills
- Prior experience in a people management or tech lead role within a data engineering or analytics team
- Familiarity with machine learning workflows, data observability, and streaming architectures
- Experience working in a product-driven, customer-focused organization
- Understanding of data privacy, security, and compliance frameworks
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 recognised brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER CONTRACT
We treat our team right
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. Competitive compensation is just the beginning. As part of our team, you can expect:
- An exciting and fun environment committed to driving real growth
- Opportunities to build really cool products that fans love
- Mentorship and professional development resources to help you refine your game
- Flexible vacation allowance to let you refuel
- Hall of Fame benefit programs and platforms
FanDuel Group is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!.” 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, and Veteran status. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes our company stronger and more competitive as One Team
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.
The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment. 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
Build & Maintain Data Pipelines
- Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
- Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
- Ensure data is reliable, accurate, and delivered in a timely manner
Collaborate Across Teams
- Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
- Translate business questions into engineering tasks and contribute to technical planning.
- Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
Data Quality & Operations
- Monitor data pipelines and troubleshoot issues in a timely, systematic manner
- Implement data quality checks and contribute to observability and testing practices
- Document data sources, transformations, and architecture decisions to support long-term maintainability
THE STATS
What we're looking for in our next teammate
- Experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
- Hands-on experience with modern data tools such as Databricks, Airflow, DBT, Spark, or Kafka.
- Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
- Experience working with cloud-based data platforms (AWS, GCP, or Azure).
Preferred Qualifications
- Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to the growth of the team.
PLAYER BENEFITS
We treat our team right
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. Competitive compensation is just the beginning. As part of our team, you can expect:
- An exciting and fun environment committed to driving real growth
- Opportunities to build really cool products that fans love
- Career and professional development resources to help you refine your game plan for owning and driving your career and development
- Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another
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).
Diversity, Equity and Inclusion
FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.
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 Benefits@fanduel.com.
The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we'd love to speak to you!
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
We are looking for a Data Engineer to join our growing data platform team and take end-to-end ownership of designing, building, and scaling the foundational data infrastructure that powers analytics, machine learning, and business decision-making across the company. In this role, you will independently drive the design and delivery of reliable, secure, and cost-efficient data platforms, enabling data engineers, analysts, and data scientists to do their best work.
You will lead technical efforts in close partnership with engineering, analytics, and security teams — improving platform reliability, performance, and developer experience for high-impact data workloads at scale. You will bring strong engineering judgment to ambiguous technical problems, drive architectural decisions, and actively contribute to growing the technical capability of the team.
The ideal candidate is an experienced engineer who takes ownership of complex systems end-to-end, solves ambiguous problems independently, and thrives in a fast-paced, collaborative environment.
If you’re excited by building resilient data platforms and want to make a broad impact at a dynamic company, we’d love to hear from you.
In addition to the specific responsibilities outlined below, 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
- Own the design, development, and delivery of scalable data pipelines and platform components built on Databricks and Airflow — from requirements through production — with clear accountability for reliability, performance, and maintainability.
- Drive performance monitoring and optimization of data workflows: proactively identify bottlenecks, diagnose root causes, and implement improvements independently.
- Lead design and code reviews, setting the bar for code quality, testability, and engineering standards across the team’s data engineering work.
- Make independent technical decisions on pipeline architecture, data modeling, and tooling trade-offs, grounded in scalability, cost efficiency, and operational simplicity.
- Own operational excellence for production batch and near-real-time pipelines: build and maintain monitoring, alerting, and runbooks, and lead incident response and postmortems.
- Build and maintain comprehensive documentation for pipelines, data models, and platform workflows that supports team knowledge-sharing and onboarding.
- Partner with analytics, data science, and engineering teams to drive adoption of platform capabilities, enforce data governance standards, and deliver against shared roadmap commitments.
- Mentor junior engineers through pairing, code review feedback, and technical guidance — actively contributing to the growth of engineering craft on the team.
THE STATS
What we're looking for in our next teammate
Minimum Qualifications
- 3+ years of experience with Apache Airflow or a comparable orchestration platform, including building and maintaining DAGs for production workloads, with strong command of retries, scheduling, dependencies, and sensor patterns.
- 3+ years of experience developing in Python, writing readable, testable, and maintainable code in a data engineering context.
- 3+ years of experience with Databricks or a comparable distributed data platform, including designing and delivering ETL/ELT pipelines using Delta Lake or similar technologies, and independently optimizing compute and query performance.
- Demonstrated ability to design and own end-to-end data systems with a focus on scalability, reliability, and operational observability — not just pipeline execution, but the full delivery lifecycle.
- Solid experience working in cloud environments (AWS, Azure, or GCP), including cloud storage, IAM, and managed services, with strong understanding of secure data access patterns.
- Experience with infrastructure as code (Terraform preferred) and the ability to independently manage and evolve platform infrastructure deployments.
- Proficiency with Git-based workflows and CI/CD practices as applied to data and platform engineering.
- Strong engineering judgment when navigating ambiguous technical problems — able to independently scope, design, and deliver solutions without close supervision.
Preferred Qualifications
- Experience mentoring junior engineers or leading technical initiatives within a data engineering team.
- Familiarity with data quality, observability, or lineage tools (e.g., Monte Carlo, Datafold).
- Experience with dbt and a clear understanding of how transformation layers fit into a modern data stack.
- Exposure to data governance, privacy, or compliance practices.
- Experience supporting BI, analytics, or data science teams in a platform or infrastructure capacity.
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).
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 $125,000 - $163,800 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 Benefits@fanduel.com.
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
Ready to apply?
Apply to FanDuel
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. 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 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 we're 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: 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).
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 $159,000 - $208,950 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 Benefits@fanduel.com.
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
Ready to apply?
Apply to FanDuel