Senior Machine Learning Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Compass

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

📱 Media

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.

📋 Description

• Serve as a Machine Learning Engineer responsible for industrializing the core model of a Voice of the Customer (VoC) platform • Transform models developed in notebooks into production-ready, scalable, and parameterized pipelines on AWS • Establish the MLOps lifecycle, ensuring model versioning, reproducibility, and governance • Develop training and inference pipelines in SageMaker • Statistically validate score parity between the current model and the model migrated to production • Contribute to the evolution of the VoC platform, which integrates data from multiple channels to generate business insights

🎯 Requirements

• Experience with Python in a production environment • Experience with PyTorch and Machine Learning model development • Experience with AWS SageMaker, including Jobs, Pipelines, Model Registry, and GPU • Experience with MLOps, including model and experiment versioning and reproducibility • Knowledge of statistical validation and model comparison • Preferred: experience with PyTorch Geometric and Graph Neural Networks (GNNs) • Knowledge of NetworkX, scikit-learn, and FAISS • Experience with Machine Learning model explainability

🏖️ Benefits

• This position is also open to candidates with disabilities