Forward Deployed Engineer, Audio

Job not on LinkedIn

🔥 31 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

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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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

• Develop and own solutions that turn raw, often unstructured audio with limited metadata into organized, ready-to-sell datasets • Build prototypes and phase them into reliable production systems • Rapidly characterize large and unfamiliar audio datasets and assess their suitability for customer use cases • Partner with the GM of the audio vertical, product and platform engineering, Data Lab, and commercial teams • Translate customer model-development goals into executable technical plans with clear acceptance criteria • Own implementation and operation of customer engagements from feasibility through post-delivery support • Identify platform growth opportunities from customer requests and frontline learnings • Design and build shared cross-vertical platform capabilities • Create audio technical playbooks and quality standards • Operate multiple active audio deals and maintain a roadmap of platform investments

🎯 Requirements

• 3+ years of experience as an engineer, including meaningful exposure to customers or external technical stakeholders • Experience working directly with media data; direct work with audio data is advantageous • Experience building and operating systems that process, analyze, or deliver data at scale • Customer-facing ability, including translating ambiguous requirements, communicating trade-offs, and building trust with technical stakeholders • Demonstrated end-to-end ownership from initial problem definition through implementation, validation, and support • High ambiguity tolerance and bias to action, with judgment to investigate further or push back • Comfort with a fast-moving environment, multiple concurrent priorities, and time-sensitive customer work • Experience at an early-stage company or startup-like environment with broad ownership is advantageous • Hands-on experience with Python is advantageous • Product engineering experience or a strong product mindset is advantageous • Experience with search, vector embeddings, semantic retrieval, or ML-assisted data curation is advantageous • Experience with AWS, Dagster, Databricks, or Vercel is advantageous • Experience with audio processing, speech or music ML, transcription, diarization, annotation, quality measurement, or privacy and redaction workflows is advantageous