Senior Machine Learning Engineer

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November 12

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Compass

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Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

10,000+ employees

🏠 Real Estate

📱 Media

📋 Description

• Plan and define the architecture of AI applications based on LLMs and embeddings; • Develop solutions following Clean Code principles, Design Patterns and SOLID; • Build ETL pipelines for ingestion and vector storage; • Develop scalable services and APIs in Python, using LangChain, LangGraph, FastAPI, Scikit-Learn, PyTorch, Docker and LLMs (open-source and via APIs); • Implement AI pipelines applied to RAG, NLP and intelligent automations; • Deploy and integrate in AWS and Azure environments; • Collaborate with multidisciplinary teams to ensure technical delivery, scalability and security.

🎯 Requirements

• Advanced knowledge of Python, including experience with NLP (Hugging Face, spaCy); • Strong SQL skills; • Foundations of descriptive and inferential statistics applied to NLP; • Practical experience with generative models (RAG, chatbots and automations with LLMs); • Experience with cloud deployment and integration (AWS or Azure); • Experience with Databricks; • Proficiency with version control and containerized environments (Docker); • Desirable: Knowledge of LangChain, LangGraph, LlamaIndex or similar; • Experience with MLOps (MLflow); • Experience with agent-oriented applications and advanced AI pipelines.