Senior Machine Learning Engineer

Summary

Join Federato, a well-funded insurtech company, and become a key member of our team. You will design and implement scalable machine learning pipelines, focusing on prompt engineering for LLMs to optimize insurance processes. Responsibilities include evaluating and benchmarking open-source LLMs, researching advancements in prompt engineering, and collaborating with junior team members. You will ensure production-grade deployment standards and communicate complex findings to non-technical audiences. Federato offers a competitive salary ($180,000 - $220,000 annually), stock options, benefits, and a fun, fast-paced work environment. We are an equal opportunity employer.

Requirements

• Proven experience as a Machine Learning Engineer or similar role (at least 5 years), with a strong focus on pipelining LLM models over the last 3 years
• Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs)
• Experience in building scalable ML pipelines using tools such as Kubeflow. 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
• Great communication skills with the ability to convey complex findings to non-technical audiences

Responsibilities

• Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases
• Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation
• Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure
• Collaborate cross-functionally, serving as a technical lead for junior team members, providing 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, balancing rapid iteration with stability

Preferred Qualifications

Familiarity with open-source models

Benefits

• $180,000 - $220,000 a year
• Stock options
• Benefits
• Additional perks