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Senior Software Engineer
Machine Learning Platform
Posted on 4/28/2022
Atlanta, GA, USA
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Data Science
Data Structures & Algorithms
Google Cloud Platform
Microsoft Azure
  • Knowledge with languages such as Python, Java, SQL, and/or shell scripts
  • Experience as a data/software engineer in a machine learning environment (recommendation systems, pattern recognition, data mining or artificial intelligence)
  • Developing and contributing to a ML feature store for downstream operational teams
  • Designing and building data pipelines for production level ML infrastructure, using tools such as TFX, Kubernetes, Kubeflow Pipelines, TensorFlow
  • Hands on experience with ML frameworks and libraries (Scikit-Learn, PyTorch, TensorFlow, LightGBM, Keras), data structures, data modeling, and software architecture
  • Modeling and querying data using SQL and DBT
  • Processing event-based data using streaming technologies such as AWS Kinesis and Kafka for ML pipelines
  • Working with other members of the ML platform team to support delivery of additional project components (API interfaces and microservices)
  • Deploying ML models under the constraints of scalability, correctness and maintainability
  • Implementing open-source data quality frameworks for data profiling and observability
  • Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
  • Machine learning and data science
  • 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
  • Apply your experience and intellect as part of an autonomous team with end-to-end ownership of key components of our machine learning architecture
  • 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

1,001-5,000 employees

Fantasy sports and online U.S. sportsbook
Company Overview
Fanduel is on a mission to make sports more exciting. The company provides a daily fantasy sports platform with a range of game types for players with a guaranteed prize pool for the winners.
  • From peer-to-peer learning to industry conferences, there are a number of ways to develop your career
  • From your head to your toes we’ve got you covered with our 100% health insurance coverage
  • We keep a well-stocked supply of snacks and refreshments to keep you going throughout the day
  • Flexible hours and vacation scheduling let you work when you’re at your best
  • We provide the latest tech and equipment, you get the job done
Company Core Values
  • We’re not just a company, we’re a collective. And we’re not just coworkers, we’re a community.
  • We’re an all-hands-on-deck crew of dreamers, doers, thinkers, makers, builders, breakers, and rebuilders.
  • We value teamwork above all else.
  • We believe that diversity and inclusiveness are at the core of any good team.
  • Passion for building a product our customers will love, passion for being the best in our field, and passion for our own people.