Software Engineer, Machine Learning Infrastructure
Core
Building scalable, reliable, and secure foundational services and tools for the end-to-end ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving models, and LLM applications.
Role type
Senior IC machine learning infrastructure engineer
Builds
Next-generation ML Infra services and capabilities for data, analytics, and AI/ML platforms
Domain
Financial technology + Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
service-oriented architecture, large-scale distributed systems, production ML platforms, MLOps, high availability systems, LLM application development
Preferred skills
building production AI agents, LLM frameworks, training and shipping ML models to production
Technologies
(none explicitly listed)
Responsibilities
Designing and building scalable services for notebooks, model training, experimentation, serving, and LLM applications; Creating services and libraries to enable seamless transition from experimentation to production; Partnering with product teams and ML engineers to improve productivity; Solving technical and product challenges across diverse systems and processes
Seniority
Mid-level, hands-on IC
