FanDuel is looking to unlock the full potential of their vast amounts of real-time and relational data to provide business insights and world-class personalized experiences for their customers. The Senior Machine Learning Engineer will be instrumental in making better and faster decisions to outpace competition by leveraging data for decision-making and customer experience.
Requirements
- 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
- 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
- Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
Responsibilities
- Building and scaling multi-layer serving architectures 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
- Continuous integration and delivery of production data products
- 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
- Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
- 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.
Other
- Collaboration is at the core of your role.
- 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.
- 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
- Apply your experience and intellect as part of an autonomous team with end-to-end ownership of key components of our data architecture
