FanDuel · 8 hours ago
Machine Learning Engineer
New York, NY
Full-time
Hybrid
Mid, Senior Level
$116K/yr - $152K/yr
3+ years expFanDuel is a premier mobile gaming company in the United States and Canada, seeking a Machine Learning Engineer to unlock the potential of their vast data. The role involves designing intelligent search systems, developing scalable serving systems, and collaborating with cross-functional teams to enhance user experiences and data-driven insights.
Fantasy SportsGamingSports
Responsibilities
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
Qualification
Required
3-5+ Years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
Experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
Hands-on 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)
Experience contributing to various software architecture design, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows
Experience collaborating cross-functionally and contributing to technical decisions in team 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
Experience working in a cloud environment such as AWS, GCP, Azure
Experience of contributing to designing and building data pipelines for production level ML and GenAI/LLM infrastructure
Preferred
Experience with Databricks is a plus, their unity catalog, another plus
Benefits
Medical, vision, and dental insurance
Life insurance
Disability insurance
A 401(k) matching program
Paid personal time off
14 paid company holidays
Paid sick time in accordance with all applicable state and federal laws
Company
FanDuel
FanDuel is a gaming company that offers sportsbook, daily fantasy sports, horse racing, and online casino games.
1001-5000 employees
H1B Sponsorship
FanDuel has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (1)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$416.2MKey Investors
Kohlberg Kravis RobertsShamrock Capital AdvisorsComcast Ventures
2020-12-03Acquired
2017-09-12Series E
2016-09-14Convertible Note· $55M
Leadership Team
Josh Ives
SVP Customer Experience Operations
Caralyn Cooley
Chief People Officer
Recent News
Sports Business Journal
2026-01-19
2026-01-13
2026-01-12
Company data provided by crunchbase