Staff Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $210k - $250k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Federato

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🛡️ Insurance

💰 $15M Series A on 2022-09

Artificial Intelligence • Insurance

Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.

📋 Description

• Design and implement efficient and scalable machine learning pipelines across multiple insurance use cases. • Collaborate cross-functionally and serve as a technical lead for junior team members. • Provide mentorship and guidance to elevate team performance and technical knowledge. • Ensure production-grade deployment standards emphasizing scalability, reliability, and compliance with insurance data handling policies. • Balance rapid iteration with system stability. • Build reusable, modular infrastructure components and CI/CD pipelines for ML and LLM workloads. • Enable rapid experimentation and seamless transition from research to production. • Champion best practices in observability, testing, and monitoring of ML systems. • Establish standards for model and data drift detection, logging, and automated rollback strategies.

🎯 Requirements

• At least 8 years of experience as a Machine Learning Engineer or in a similar role. • Strong focus on leveraging LLM models over the last 2 years. • Expertise designing scalable and robust machine learning pipelines for classical machine learning systems and large language model applications. • Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production. • Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing. • Strong communication skills and ability to convey complex findings to non-technical audiences.

🏖️ Benefits

• Stock options • Benefits • Additional perks • Reasonable accommodation for individuals with disabilities • Equal-opportunity workplace • Opportunity to work with an advanced AI team • Mentorship and guidance opportunities