FanDuel
WebsiteSenior Machine Learning Engineer/AI Specialist - Atlanta ML, AI ๐
Company
Role
Senior Machine Learning Engineer/AI Specialist - Atlanta ML, AI ๐
Location
Job type
Full-time
Posted
1 month ago
Salary
Benefits
Job description
Senior Machine Learning Engineer/AI Specialist - Atlanta ๐ฐ Salary: $138,000 - 173,000 per year
At FanDuel we are looking for a ML, AI engineer!
๐ ๏ธ Our tech stack: AI, Airflow, AWS, Azure, Big Data, Business Intelligence, Cloud, Databricks, Flink, Flutter, Support, Java, Kafka, Keras, LLM, Looker, Machine Learning, Mobile, Network, PyTorch, Python, React, Security, Spark, Tableau, TensorFlow, Terraform, Unity, GameDev, Machine-Learning
๐ Rquirements
- 5-7+ years of demonstrable experience writing code in one or more primary programming languages (Python, Java, etc.)
- Over 1 year of experience implementing vector search, semantic search, or embedding-based retrieval systems for operational ML or AI applications
- More than 1 year of experience working with typeahead/autocomplete systems and incorporating ML signals into query comprehension or ranking workflows
- At least 1 year of experience merging outputs from multiple retrieval systems (e.g., vector search, typeahead, personalization models) to enhance relevance
- Over 1 year of experience deploying ML and GenAI/LLM models while addressing scalability, accuracy, and maintainability
- Practical experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow, etc.) as well as familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers)
- Hands-on experience with one or more cloud services for ML and GenAI/LLM (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc.)
- Minimum of 4 years of experience designing and constructing diverse software architectures, particularly scalable architectures that support both traditional ML and advanced LLM workflows
- Profound understanding of data structures, distributed computing, and core software engineering principles
- Over 3 years of providing technical leadership within teams, managing projects, and defining technical directions for initiatives
- Familiarity with relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
- Capability to convey findings in easily digestible formats, such as dashboards or data modeling
- Engage in regular design process evaluations and maintain development standards within the team
- Collaborate with leadership to promote the acceptance of ML and GenAI/LLM solutions among product engineering teams
- Experience in a cloud setting like AWS, Google Cloud Platform, or Azure
- Familiarity with Databricks and its unity catalog is a bonus
- Experience designing and constructing data pipelines for production-level ML and GenAI/LLM infrastructure
- Exposure to vector databases for effective management and retrieval of embeddings for LLM applications, facilitating high-performance similarity search and retrieval-augmented generation (RAG) processes is a plus
- Inspire junior engineers to adopt best practices and contemporary industry design patterns.
๐ฉโ๐ป๐จโ๐ป Your responsibilities are
- Develop and implement an intelligent search system that integrates typeahead search, vector search, and machine learning personalization model signals to enhance relevance and user experience
- Collaborate in the design and development of scalable solutions for ML and GenAI/LLM models
- Create platform features and capabilities (e.g., CLI, SDK, Infra Automation, Platform Applications) to streamline the development and deployment lifecycle of ML models and GenAI/LLM applications
- Utilize business intelligence tools (e.g., Tableau, Knime, Looker) effectively
- Ensure data security and privacy compliance (e.g., GDPR, CPP)
- Oversee data governance and data testing frameworks
- Facilitate continuous integration and delivery of production data products
- Foster an inclusive culture that values excellence and prioritizes personal and professional growth
- Explore opportunities for career advancement through well-defined, skill-based tracks, both as an individual contributor or in a managerial role, ensuring equitable opportunities for compensation and advancement
- Collaborate closely with peers to share best practices in system reliability, automation, and data quality.
View this job and over 500 other transparent jobs with salaries (๐ฐ๐ฐ๐ฐ) & tech stacks (๐ ๏ธ) on DevITJobs
Category: ML, AI Developer / Engineer Location address: Ponce de Leon Avenue NE 675, Atlanta, United States
Salary: $138,000 - 173,000 per year
Benefits & perks that we offer
FanDuel - More about us and the role: At FanDuel, we are the leading mobile gaming company in the United States and Canada, comprising a portfolio of top brands including Americas #1 Sportsbook, FanDuel Sportsbook, and FanDuel Casino. We also lead in horse racing with FanDuel Racing and have a popular daily fantasy sports product. With a vast reach across all 50 states, Canada, and Puerto Rico, our company operates out of New York with additional offices in Los Angeles, Atlanta, and Jersey City, along with global branches in Canada and Scotland. As a subsidiary of Flutter Entertainment, the worlds foremost sports betting and gaming operator, we offer our team an array of exceptional benefits, including health plans, generous PTO, 401(k) matching, and opportunities for professional development. Join us, and lets excel together!
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