Forward Deployed Machine Learning Engineer

🕒 April 30

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $155k - $180k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Build, deploy, and iterate on machine learning models and agentic workflow features addressing customer needs • Apply ML techniques to improve accuracy and system performance, ensuring robust, reliable, production-ready solutions • Improve, implement, and validate ML models and agentic workflows for submission intake, underwriting decision-making, and automation tasks • Deploy and adapt autonomous agent behaviors into customer-specific workflows • Develop and maintain evaluation pipelines, monitoring systems, and performance metrics • Monitor production systems using logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution • Take end-to-end ownership of problems by implementing fixes or coordinating with engineering and infrastructure teams • Partner with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

🎯 Requirements

• Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field • Foundational knowledge of machine learning, deep learning, and natural language processing • Experience working in a fast-paced, cross-functional environment • 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production • Experience working directly with customers or stakeholders to translate business needs into technical solutions • Hands-on experience adapting, extending, and deploying ML/LLM systems, including agentic workflows and prompt engineering, in real-world use cases • Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems • Experience deploying and iterating on ML systems in cloud environments with engineering teams • Proven track record of ownership, driving issues through to resolution in production systems

🏖️ Benefits

• Bonus • Stock options • Benefits • Additional perks • Reasonable accommodation for individuals with disabilities during application, interview, and employment processes