Base Salary
$138k - $173k/yr
Responsibilities
- Design and implement intelligent search systems using typeahead search, vector search, and ML personalization signals.
- Design and develop scalable serving systems for ML and GenAI/LLM models.
- Build platform features such as CLI, SDK, infrastructure automation, and platform applications for ML and GenAI/LLM development and deployment.
- Develop data governance, data testing, data security, privacy, and production data product capabilities.
- Build and maintain data pipelines supporting production ML and GenAI/LLM infrastructure.
- Collaborate with engineering teams, data scientists, and analysts to productionize, analyze, and validate AI-powered insights.
- Combine outputs from retrieval systems and personalization models to improve search relevance and user experience.
- Conduct design process reviews, uphold development standards, and share best practices in reliability, automation, and data quality.
- Work with leadership to drive adoption of ML and GenAI/LLM solutions across product engineering teams.
- Provide technical leadership, own projects, define technical direction, and mentor junior engineers.
Requirements
- 5–7+ years of relevant experience developing code in core programming languages such as Python or Java.
- At least 1 year of production experience with vector search, semantic search, or embedding-based retrieval systems.
- At least 1 year of experience with typeahead or autocomplete systems and ML signals for query understanding or ranking.
- At least 1 year of experience deploying scalable, correct, and maintainable ML and GenAI/LLM models.
- Hands-on experience with ML frameworks, libraries, LLM frameworks, and one or more ML or GenAI/LLM cloud services.
- At least 4 years of experience designing and building software architecture, including scalable architectures for ML and LLM workflows.
- Deep knowledge of data structures, distributed computing, and software engineering principles.
- At least 3 years of technical leadership experience owning projects and defining technical direction.
- Experience with relevant data, streaming, infrastructure, and orchestration tools such as Flink, Spark, Kafka, Amazon Kinesis, Terraform, and Airflow.
- Experience working in AWS, GCP, or Azure cloud environments.
- Experience designing and building production data pipelines for ML and GenAI/LLM infrastructure.
- Experience with vector databases and retrieval-augmented generation workflows is a plus.
- Databricks and Unity Catalog experience is a plus.
- Ability to communicate findings through dashboards or data modeling and motivate junior engineers on best practices.
Benefits
- Health, vision, and dental insurance, with health plans that include fertility and family planning, mental health support, and fitness benefits.
- Paid time off, sick leave, and 14 paid company holidays.
- 401(k) with up to a 5% match, commuter benefits, pet insurance, life insurance, and disability insurance.
- Annual bonus and long-term incentive opportunities may be available based on performance.
- The role may include short-term or long-term incentive compensation and stock program participation.
Tech Stack
Categories
About FanDuel
FanDuel Group 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 North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 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). Learn more about what we do at: https://www.fanduel.com/about https://twitter.com/FanDuel https://twitter.com/FDsportsbook https://twitter.com/FanDuelCasino https://www.facebook.com/fanduel/ https://www.instagram.com/fanduel/ https://instagram.com/FDsportsbook/ https://www.youtube.com/FanDuel