Senior Machine Learning Engineer (MLOps & Production Systems)

torentify • United State

Remote

Apply Now

AI Summary

Design, deploy, and optimize scalable machine learning systems for SeatGeek’s ticketing marketplace, focusing on ticket discovery, pricing optimization, personalization, and fraud prevention. Bridge research and production by collaborating with data scientists, engineers, and product teams to build maintainable ML infrastructure and real-time pipelines. Leverage MLOps best practices to ensure system reliability, performance, and seamless integration into core products.

Key Highlights

Build and maintain production-grade ML infrastructure, including feature stores, model-serving platforms, and real-time inference pipelines.

Collaborate cross-functionally to translate research models into scalable, reliable production systems for ticketing industry challenges.

Focus on MLOps, system performance, and integrating ML capabilities into SeatGeek’s core products.

Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

Key Responsibilities

Design, build, and deploy machine learning models and systems for ticket discovery, pricing optimization, personalization, and fraud prevention.

Build and maintain ML infrastructure, including feature stores, model-serving platforms, and real-time inference pipelines.

Collaborate with data scientists, product managers, and software engineers to translate research models into production-ready systems.

Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices.

Address technical challenges specific to the ticketing industry, such as real-time pricing optimization and demand forecasting.

Technical Skills Required

Python Machine Learning Frameworks (TensorFlow/PyTorch) Cloud Platforms (AWS)

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

Benefits & Perks

Flexible work environment (hybrid or fully remote)

Work-from-home stipend

Health, vision, dental, and life insurance

Job Description

About the Company

SeatGeek believes live events are powerful experiences that bring people together. The company is building a consumer brand focused on improving the experience for performers, venues, and fans through technology and innovation.

About the Role

SeatGeek is seeking an experienced Machine Learning Engineer to help bridge the gap between research and production-ready machine learning systems. In this role, you will design, build, and deploy scalable ML infrastructure and services that support key areas of the ticketing marketplace, including ticket discovery and purchasing, pricing and inventory optimization, personalization, and fraud prevention.

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.