
501 - 1000 employees
Founded 2017
💼 Consulting
📦 Logistics
💳 Fintech
Consulting • Logistics • Fintech
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, United Kingdom, +6 more countries – Remote
💵 $167k - $227.9k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 45%
Improve your chances of getting an interview by checking your resume score before you apply.

501 - 1000 employees
Founded 2017
💼 Consulting
📦 Logistics
💳 Fintech
Consulting • Logistics • Fintech
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.
• 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
• 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
• 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
Apply Now🕒 February 26
AI Researcher exploring foundational models for financial applications using multimodal datasets. Pursuing original research agendas and collaborating deeply with research engineers.
🕒 February 26
AI Research Engineer at a trading firm specializing in financial applications using multimodal datasets. Collaborating with researchers and designing data pipelines for transformative models.