Senior ML Engineer - Remote | Equity & Impact at Scale

Devconnectplatform; États-Unis; À distance; USD 145 000 - 209 000; Plein temps

Avantages offerts par ce poste

Equity stake

Discretionary annual bonus

Flexible work environment (remote)

WFH stipend

Unlimited PTO

Up to 16 weeks family leave

401(k) matching

Student loan matching

Health, vision, dental, and life 보험

Résumé du poste

SeatGeek is seeking a Senior Machine Learning Engineer to design, build, and deploy scalable ML systems that power pricing, recommendations, and fraud detection for a high-volume ticket marketplace. You will embed with a product engineering team to translate research into production-ready services.

You will develop ML pipelines, feature stores, and model serving platforms, collaborating with data scientists, PMs, and software engineers to deliver reliable, scalable solutions in a remote-first

Qualifications

• 4+ years of software engineering experience with at least 2+ years on ML systems/MLOps.
• Strong Python programming and exposure to ML frameworks.
• Experience deploying ML systems in production and scaling models.

Responsabilités

• Design, build, and deploy ML models and systems at scale.
• Develop ML infrastructure including feature stores and model serving.
• Collaborate with data scientists, PMs, and software engineers to productionize models.
• Address real-time pricing, demand forecasting, and fraud detection in production.
• Create automated ML pipelines for training, validation, deployment, and monitoring.

Connaissances

Python

ML frameworks

TensorFlow

PyTorch

Go

C# .NET Core

MLOps

Production ML systems

Real-time inference

Outils

Postgres

Memcached/Redis

Elasticsearch

AWS (SageMaker, Redshift, ECS)

Airflow

GitLab

Cursor

Github Copilot

Claude Code

Datadog

Description du poste

SeatGeek is seeking a Senior Machine Learning Engineer to design, build, and deploy scalable ML systems that power pricing, recommendations, and fraud detection for a high-volume ticket marketplace. You will embed with a product engineering team to translate research into production-ready services.

You will develop ML pipelines, feature stores, and model serving platforms, collaborating with data scientists, PMs, and software engineers to deliver reliable, scalable solutions in a remote-first