Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in building production-ready ML systems. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to develop and deploy complex models effectively. Your familiarity with cloud platforms, particularly AWS, allows you to leverage scalable infrastructure for machine learning applications. You understand the intricacies of data pipelines and have experience with tools like MLflow for managing the ML lifecycle. Your knowledge of databases, especially PostgreSQL, helps you manage and query large datasets efficiently. You are comfortable working in collaborative environments, engaging with data scientists and software engineers to translate research into practical solutions. You are passionate about solving real-world problems, particularly in the ticketing industry, and are eager to tackle challenges such as pricing optimization and fraud detection.

Desirable

Experience with Apache Spark is a plus, as it can enhance your ability to process large datasets and build real-time inference pipelines. Familiarity with Docker will aid in containerizing your ML applications, ensuring consistency across development and production environments. You are also open to exploring new technologies and methodologies that can improve the efficiency and effectiveness of ML systems.

What you'll do

In this role, you will design, build, and deploy machine learning models and systems that operate reliably at scale in production. You will be responsible for building and maintaining ML infrastructure, including feature stores and model serving platforms, to support the deployment of machine learning models. Collaborating closely with product engineering teams, you will work alongside data scientists and PMs to translate experimental models into production-ready systems. You will solve complex technical challenges unique to the ticketing industry, such as real-time pricing optimization and demand forecasting. Additionally, you will develop automated ML pipelines for training, validation, and deployment, ensuring that the models are continuously improved and updated based on new data and insights. Your work will directly impact how millions of fans discover and purchase tickets, enhancing their overall experience with SeatGeek.

What we offer

At SeatGeek, we believe in the power of live events and are committed to creating a diverse and inclusive workplace. We offer competitive compensation and benefits, including flexible working arrangements that allow you to balance your professional and personal life. You will have the opportunity to work with a talented team of innovators who are passionate about transforming the ticketing industry. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective and skills could be a great fit for our team. Join us in our mission to simplify and modernize the ticketing experience for fans, performers, and venues alike.