
501 - 1000 employees
Founded 2017
💳 Fintech
👥 B2C
Fintech • B2C
Wave Mobile Money is a company that offers a revolutionary mobile money service. Their platform allows users to deposit, withdraw, and send money with minimal fees—only 1% for sending money. Customers can pay bills and buy airtime instantly for free. Wave ensures the protection of users' finances with best-in-class security and provides customer support through a toll-free number. The service is praised for its simplicity, efficiency, and convenience, making it a popular choice for transferring money and managing mobile financial transactions.
🕒 April 1
🇺🇸 United States – Remote
💵 $0 - $227.9k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
🦅 H1B Visa Sponsor
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501 - 1000 employees
Founded 2017
💳 Fintech
👥 B2C
Fintech • B2C
Wave Mobile Money is a company that offers a revolutionary mobile money service. Their platform allows users to deposit, withdraw, and send money with minimal fees—only 1% for sending money. Customers can pay bills and buy airtime instantly for free. Wave ensures the protection of users' finances with best-in-class security and provides customer support through a toll-free number. The service is praised for its simplicity, efficiency, and convenience, making it a popular choice for transferring money and managing mobile financial transactions.
• Bridge research and production, building AI models and agent systems that ship into real products. • Architect, evaluate, and optimize autonomous voice and digital agents powering 10M+ customer interactions per month across West Africa. • Build for the hardest edge cases: 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 problem discovery to running in production, working alongside product and engineering leaders who prioritize shipping real customer impact.
• 5+ years of experience in AI/ML engineering • Strong Python and backend engineering skills • Solid foundation in statistics and ML theory • Proven hands-on experience building with LLMs (prompt engineering, RAG, embeddings, fine-tuning, agent orchestration etc.). • Track record taking ML models from prototype to production and care deeply about reliability, performance, and scalability. • Fluency with AI coding agents, with bonus points for deploying them as part of production systems • Fluent in English (bilingual in French is a big bonus!).
• Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country). • 6 months of fully paid parental leave and subsidized fertility assistance. • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays. • $10,000 annual charitable donation matching.
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