Forward Deployed Machine Learning Engineer

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Grupo Protege

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

📋 Description

• Partner with the GM and early customers to define strong evaluations across domains • Collaborate with researchers to design and build benchmarks • Establish standards for processing different modalities • Build backend infrastructure including data pipelines, execution environments, storage, and orchestration • Stand up sandboxed environments for agentic evaluations requiring tools, code execution, or multi-step tasks • Identify repeatable evaluation patterns, infrastructure gaps, and product opportunities from live engagements • Partner with DataLab on domain-specific data and research questions • Build understanding of the evaluation landscape, strategy, customer demand, and platform/data partner capabilities • Identify major technical bets and ship multiple iterations of evaluation infrastructure • Own the engineering portion of customer engagements end to end

🎯 Requirements

• 4+ years of engineering experience • Hands-on machine learning work evaluating models • Previous ownership of backend and infrastructure • High ambiguity tolerance and bias to action • Comfort working with urgency to meet market demands • Strong written communication • Prior experience building benchmarks, evaluations, or human data pipelines for LLMs (nice to have) • Experience at a frontier lab, evaluation-focused team, or research organization (nice to have) • Founding or early engineer experience at a fast-moving startup (nice to have) • Familiarity with agentic systems, RL environments, code-execution sandboxes, and TEE/TREs (nice to have)