Machine Learning Engineer

🕒 July 27

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

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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Verve

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

📱 Media

☁️ SaaS

💰 $38M Post-IPO Equity - Verve on 2025-06

Marketing • Media • SaaS

Verve is a global omnichannel advertising platform that captures, unifies, and activates high-fidelity (including ID-less) consumer signals to drive measurable outcomes for brands, agencies, publishers and DSPs across mobile, web, and connected TV. The company provides privacy-first performance marketing, retail media solutions, mobile app monetization and multi-channel monetization via direct publisher integrations, SDK and OpenRTB connections, deals libraries, and audience enrichment to improve ad performance and publisher yield.

📋 Description

• Experiment with emerging technologies and contribute to building new models and systems • Implement prototypes of the algorithms and models you design in Python • Focus on delivering solutions to production (this is not a research-only role) • Design training and evaluation protocols • Set up monitoring for performance metrics and overall system behaviour including alerts for any anomaly detected • Partner closely with the platform engineering team to streamline and optimize MLOps workflows • Use Kanban to manage multiple releases per week • Maintain high code quality through code reviews and automated tests

🎯 Requirements

• You have hands-on experience implementing production machine learning systems at scale • Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn etc • Familiarity with ML tools like MLFlow, Ray Serving • Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis • Familiarity with AWS and Google Cloud big data products

🏖️ Benefits

• Health insurance • Professional development • Flexible work arrangements