Senior Machine Learning Engineer (Inference Platform)

Role Overview

As a Senior ML Engineer on our Inference Platform, you'll own the end-to-end lifecycle of production ML serving systems from model packaging and deployment to monitoring, optimization, and scaling. You'll be responsible for the inference infrastructure powering a live conversational shopping agent, operating multiple specialized serving engines under real-world production load.

What You Will Do

Own and evolve our multi-engine inference platform, build and improve production ML pipelines, define and implement model versioning and rollout strategies, and build observability and monitoring tooling for production inference systems.

Why It Might Be a Fit

We're looking for a Senior Machine Learning Engineer with 5-8+ years of experience in Software Engineering, ML Engineering, or related fields, with direct ownership of production ML serving systems. You should have hands-on experience running an LLM serving engine in production, strong Python skills, and experience with cloud platforms such as AWS, GCP, or Azure.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
• 5-8+ years of experience in Software Engineering, ML Engineering, Platform Engineering, or Infrastructure Engineering
• Hands-on experience running an LLM serving engine in production
• Strong Python skills and software engineering fundamentals
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with ML lifecycle tooling, experimentation platforms, and model registries