Machine Learning Engineer at FanDuel

As a Machine Learning Engineer at FanDuel, you will be instrumental in designing, building, and deploying scalable machine learning systems that power real-world applications. This role involves working closely with data scientists, engineers, and product managers to transition models from experimentation to production, ensuring their reliability and performance at scale. You will contribute across the entire ML lifecycle, including feature engineering, model training, evaluation, deployment, and monitoring. Additionally, you will focus on growing your skills in software development, ML Ops, and scalable infrastructure. This position is ideal for individuals who are passionate about understanding how complex systems work, ensuring software reliability, and finding the balance between rapid development and building sustainable solutions. You will leverage your programming skills to automate processes, enhance user experiences, and drive business impacts through data-driven insights. The role requires a proactive approach to problem-solving and a desire to continuously learn and improve ML systems and infrastructure.