Senior Machine Learning Engineer - Platform

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July 6

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Gametime

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eCommerce • Entertainment • Sports

Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.

201 - 500 employees

🛍️ eCommerce

⚽ Sports

📋 Description

• The Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. • In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. • At Gametime, the modeling teams are expected to work full-stack and end-to-end. • This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. • This is an opportunity to join as a founding member of the team and help shape its future direction. • Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutions. • Own existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform). • Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner. • Improve the reliability around all components of an ML platform capable of powering critical product features used by millions of users.

🎯 Requirements

• Proven track record in designing and implementing mission-critical, high-reliability systems with rapid deployment • Outstanding programming proficiency, with particular expertise in Python • Strong working knowledge of AWS or equivalent cloud platforms • Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL) • Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experience • Ability to collaborate effectively across teams and communicate with key stakeholders • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility.

🏖️ Benefits

• Gametime is committed to bringing together individuals from different backgrounds and perspectives. • We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. • As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information.