Staff Machine Learning Engineer (LLM & MLOps)

Federato is the only AI-native platform for the insurance industry, backed by the minds behind Salesforce and Zoom. We are on a mission to defend the right to efficient, equitable insurance for all. We are looking for a Staff Machine Learning Engineer to design scalable ML pipelines and serve as a technical lead, specifically focusing on LLM workloads and Prompt Engineering workflows.

Key Responsibilities

• LLM Pipelines: Design and implement scalable machine learning pipelines, serving prompt engineering workflows to enhance submission intake processes.
• Technical Leadership: Serve as a technical lead for mid and senior team members, providing mentorship to elevate team performance.
• MLOps Infrastructure: Build reusable, modular infrastructure components and CI/CD pipelines for ML and LLM workloads, enabling rapid transition from research to production.
• Production Standards: Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data policies.
• Observability: Champion best practices in observability, logging, and automated rollback strategies for ML systems.

Requirements

• Experience: 7+ years of total experience, with a specific focus on pipelining LLM models over the last 2 years.
• Pipeline Design: Proven experience designing robust pipelines for both classical ML and Large Language Models (LLMs).
• Tooling: Experience building scalable ML pipelines using tools like Kubeflow.
• Cloud: Hands-on experience with cloud platforms for deploying models and managing resources.
• Leadership: Proven record of leading teams for high-visibility projects and executing ML product vision.

Benefits

• Compensation: Competitive base salary of $210k - $250k plus Stock Options.
• Remote: Fully remote role.
• Culture: A fast-paced, first-principles culture that values diversity and fun.