Senior Machine Learning Engineer

February 29

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Archipelago

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Archipelago uses AI to digitize risk for large property owners to increase resiliency and lower their cost of risk.

Data • Technology • Real Estate • AI • Machine Learning

51 - 200

Description

• Designing and developing machine learning and deep learning systems • Building RAG pipelines with LLMs • Design and implement tracking and evaluation tools to assess model performance and data accuracy, focusing on product relevance based on user interaction feedback • Implementing appropriate ML algorithms • Orchestration of long running jobs for data extraction • Building UIs to test & evaluate results of ML experiments • Translate research papers into high-quality, production-ready code • Ship code to production frequently • Coach and mentor more junior engineers

Requirements

• 5+ years experience as a Machine Learning Engineer or similar role • Familiarity working with LLMs, prompt engineering and RAG frameworks (llamaindex) • Understanding of data structures, data modeling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python, JavaScript • Familiarity with machine learning frameworks (like Keras, PyTorch and XGBoost) • Knowledge of how to deploy and maintain ML services in a production environment • Experience in designing and deploying feature engineering pipelines in production • Excellent communication skills • Ability to work in a team • Outstanding analytical and problem-solving skills

Benefits

• Remote First Strategy • Company Equity Program • Medical, dental, vision and life insurance • Flexible Time Off • Mental Health programs • Remote office reimbursement