Applied AI Scientist – LLMs, Voice

🕒 il y a 7 mois

💵 $167 000 - $227 900 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧠 Chercheur en IA

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Wave Mobile Money, pas via un site d'emploi

Repérée par Remote Rocketship il y a 7 mois

Toujours ouverte sur le site de Wave Mobile Money. Vérifiée il y a 2 heures.

Logo of Wave Mobile Money

Wave Mobile Money

501 - 1000 employés

Fondée en 2017

💼 Conseil

📦 Logistique

💳 Fintech

Consulting • Logistics • Fintech

Wave Mobile Money est une entreprise qui propose un service d'argent mobile révolutionnaire. Leur plateforme permet aux utilisateurs de déposer, retirer et envoyer de l'argent avec des frais minimes—seulement 1 % pour l'envoi d'argent. Les clients peuvent payer leurs factures et acheter du crédit téléphonique instantanément et gratuitement. Wave assure la protection des finances des utilisateurs avec une sécurité de pointe et offre un support client via un numéro gratuit. Le service est salué pour sa simplicité, son efficacité et sa commodité, ce qui en fait un choix populaire pour transférer de l'argent et gérer les transactions financières mobiles.

Description

• Drive the quality of automated customer support through evaluating and improving team-built systems • Bridge research and production by building agent systems that ship into real products • Contribute to autonomous voice and digital agents powering 10M+ customer interactions per month across West Africa • Build solutions for poor connectivity, low literacy and languages with little training data • Experiment with, evaluate and integrate the latest voice and text models • Own problems end-to-end, from discovery through production • Work alongside product and engineering leaders to prioritize real customer impact

🎯 Exigences

• 5+ years of experience in AI/ML • Proven hands-on experience building with LLMs or AI systems, including evaluation, RAG, embeddings, safety and guardrails • Strong foundations in statistics and ML theory • Solid Python skills • Track record taking AI/ML systems from prototype to production, with focus on reliability, performance and scalability • Fluency with AI agents • Comfortable navigating ambiguity and designing AI systems end-to-end without detailed specifications • Experience building evaluation frameworks to catch hallucinations and measure groundedness • Ability to balance research intuition with pragmatic engineering and ship working systems • Experience with large datasets, complex pipelines and modern ML infrastructure, including distributed training, feature stores and monitoring • Research background in speech or LLMs is a bonus • Proven Voice AI experience, including ASR, TTS, latency optimization, real-time streaming and voice agents, is a bonus • Experience building customer support or conversational AI systems is a bonus • Familiarity with low-resource language challenges is a bonus • Experience building in high-risk agent environments like finance is a bonus • Fluent in English; bilingual French is a bonus • Candidates must be based in one of Wave's talent hub countries or operating markets listed in the posting

🏖️ Avantages

• Yearly $1,200 stipend to support coworking meetups with teammates • Subsidized health insurance for you and your dependents • Retirement contributions • 6 months of fully paid parental leave • Subsidized fertility assistance • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays • $10,000 annual charitable donation matching • Generous equity package

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Développé par Lior Neu-ner. J'aimerais beaucoup recevoir vos retours — contactez-moi en DM ou par e-mail support@remoterocketship.com
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