Machine Learning Engineer II

About the Company

SeatGeek is a technology company modernizing the ticketing industry with a fan-first approach. Its platform helps performers, venues, and fans connect through live events, with technology designed to improve ticket discovery, purchasing, pricing, and the overall event experience.

About the Role

SeatGeek is looking for a Machine Learning Engineer to help turn research and experimental models into reliable, production-ready machine learning systems. You will work closely with data scientists, product managers, and software engineers to build ML infrastructure and services that support millions of fans.

Your work will contribute to key areas of the business, including ticket discovery, personalized recommendations, pricing and inventory optimization, demand forecasting, and fraud prevention. The role combines software engineering, machine learning, and product development, with an emphasis on building scalable, maintainable systems that deliver measurable business value.

Key Responsibilities

• Design, build, and deploy machine learning models and systems that operate reliably at scale in production.
• 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 move research and experimental models into production-ready systems.
• Address technical challenges in the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection.
• Develop automated machine learning pipelines for training, validation, deployment, and monitoring using MLOps best practices.
• Work across teams and disciplines to promote ML capabilities and integrate them into SeatGeek's core products.

Required Qualifications

• Experience building and deploying machine learning systems in production environments, with the ability to discuss system scale and business impact.
• At least 4 years of software engineering experience, including 2 or more years focused on machine learning systems and MLOps.
• Strong programming skills in Python and experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar tools.
• Experience with cloud platforms and containerization technologies.
• Understanding of batch and real-time machine learning systems, including model serving, A/B testing, and performance monitoring.
• A strong commitment to software craftsmanship, maintainable code, and high engineering standards.
• A product-focused mindset that considers user experience, business impact, system reliability, and model performance.
• A collaborative approach to working with people from diverse backgrounds, including a willingness to mentor teammates and learn from others.

Technology Stack

SeatGeek's technology stack includes the following tools and platforms. Experience with every tool is not required; the company values relevant skills, experience, and problem-solving ability.

• Languages and frameworks: Python, FastAPI, Go, C#, and .NET Core
• Datastores: PostgreSQL, Memcached, Redis, and Elasticsearch
• Cloud and orchestration: AWS, including SageMaker, Redshift, and ECS, along with Airflow
• Version control: GitLab
• AI tools: Cursor, GitHub Copilot, and Claude Code
• Observability: Datadog

Salary and Benefits

The salary range for this role is $145,000–$209,000 USD. The position is eligible for equity and may include a discretionary annual bonus based on individual and company performance. Actual compensation depends on factors such as skills, experience, certifications, and location.

Benefits and perks include:

• Equity stake
• Discretionary annual bonus
• Flexible work arrangements, with the option to work from the office or 100% remotely
• Work-from-home stipend
• Unlimited paid time off
• Up to 16 weeks of fully paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25,000 toward family building, reproductive health services, and gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace, Headspace Care, and One Medical
• $360 per quarter to spend on live-event tickets
• An annual subscription to Spotify, Apple Music, or Amazon Music

Equal Employment Opportunity

SeatGeek is an equal opportunity employer committed to providing equal employment opportunities to all employees and applicants, regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law.

SeatGeek values diversity and welcomes the perspectives and contributions that people from different backgrounds bring to the workplace.

Candidate Privacy Notice

Candidates can review SeatGeek's candidate privacy notice through the link provided in the original job listing.