Senior Applied AI Engineer, Audio

🕒 Março 9

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Reality Defender (YC W22)

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🔐 Segurança

📱 Mídia

AI • Security • Media

A Reality Defender é uma empresa que fornece plataformas multi-modelo e multimodais para detecção de conteúdo gerado por IA. Ela oferece serviços a empresas, governos e plataformas para detectar deepfakes e mídias sintéticas em diversas modalidades, como áudio, vídeo, imagens e texto. As soluções são projetadas para proteger contra a ameaça, em rápido crescimento, do conteúdo gerado por IA usado para fraude e desinformação. As ferramentas da Reality Defender são probabilísticas, ou seja, não dependem de marcas d'água ou de autenticação prévia para verificar a autenticidade. A empresa concentra-se em setores como mídia, finanças e governo para proteger contra ameaças geradas por IA.

Descrição

• Design, build, and optimize ML/DL models for production-scale audio deepfake detection. • Interface with clients to build a deep understanding of the production environment and scope out model performance criteria. • Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies that span across Engineering and AI. • Drive model tuning and iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines. • Design and execute structured experimentation roadmaps, centered around client requirements, anticipated future attack vectors, and proactive system resilience. • Collaborate with cross-functional partners (Applied Scientists, Deployment Engineers, Product teams) to deploy robust and scalable models. • Present technical findings and model performance insights to clients as well as internal stakeholders.

🎯 Requisitos

• Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent industry experience) • 2+ years of industry experience building and deploying ML/DL models for AI products • Strong programming skills in Python and model ML frameworks (PyTorch, JAX) • Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation • Proven experience with large-scale training and benchmarking pipelines • Prior experience in a client-facing or solutions-oriented AI role is a plus.

🏖️ Benefícios

• Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents • Dental and Vision plans with 100% premium coverage for employees and their dependents • Short/Long-term disability and life insurance plans with 100% premium coverage for employees • FSA/HSA and 401k programs • Equity compensation • 20 days of PTO per year • 12 weeks of Parental Leave • Learning and Development budget • Monthly wellness benefits • Annual company-sponsored offsite