Senior ML Engineer — Real-Time ML at Scale (Remote)

SeatGeek; United States; Hybrid; USD 145,000 - 209,000; Full time

Benefits offered by this job

Equity stake

Flexible work environment

Unlimited PTO

401(k) matching

Comprehensive health insurance

Job summary

A leading technology company in the United States seeks a Machine Learning Engineer to design and deploy scalable ML models and infrastructure. You'll collaborate with cross-functional teams to optimize ticketing solutions, contributing to a fast-paced, innovative environment. Ideal candidates have strong Python skills and experience in ML frameworks along with a passion for solving complex technical challenges. This role offers competitive salary and extensive benefits including equity stake and flexible work arrangements.

Qualifications

• 4+ years of experience in software engineering focused on machine learning systems.
• Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch.
• Understanding of batch and real-time ML systems.

Responsibilities

• Design and deploy machine learning models in production environments.
• Build and maintain ML infrastructure such as feature stores and model serving platforms.
• Collaborate with engineering teams to translate research models into production systems.

Skills

Machine learning systems deployment

Software engineering

Python programming

Experience with ML frameworks

Cloud platforms

Tools

AWS

Postgres

FastAPI

Job description

A leading technology company in the United States seeks a Machine Learning Engineer to design and deploy scalable ML models and infrastructure. You'll collaborate with cross-functional teams to optimize ticketing solutions, contributing to a fast-paced, innovative environment. Ideal candidates have strong Python skills and experience in ML frameworks along with a passion for solving complex technical challenges. This role offers competitive salary and extensive benefits including equity stake and flexible work arrangements.