Job Url: https://jobright.ai/jobs/info/6973b1a737785856350d8acd Job Description: Wave Mobile Money ยท 1 hour ago Machine Learning Scientist United States Full-time Remote Mid, Senior Level $0/yr - $223K/yr 5+ years exp 80% GOOD MATCH 100% Exp. Level 62% Skill 49% Industry Exp. Maximize your interview chances Wave Mobile Money is on a mission to make Africa the first cashless continent by building accessible financial services. As a Machine Learning Engineer, you will architect and ship autonomous voice and digital agents to enhance customer interactions and solve complex technical challenges in emerging markets. Financial Services FinTech Mobile Payments H1B Sponsor Likely Insider Connection @Wave Mobile Money 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network From Your Previous Company F F F & 2 connections Previously@undefined and... From Your School F F F & 2 connections @undefined and... Find Any Email Responsibilities Architect and ship autonomous voice and digital agents that power 10M+ customer interactions per month across West Africa Own end-to-end agent systems from core models through multi-channel orchestration, architecting solutions that work reliably where connectivity is poor, literacy can be low, and most languages lack training data Drive real ownership, from problem discovery to running in production, working alongside product and engineering leaders who prioritize shipping real customer impact Shape that future by solving genuinely hard technical problems where systems either work or they fail Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Machine Learning experience Python proficiency Voice agents experience LLMs NLP systems Statistical foundation Model production experience Navigating ambiguity Working with large datasets Fluent in English Bilingual in French Required 5 years of ML experience Strong proficiency in Python and common ML libraries Solid theoretical foundation in stats and ML Experience working with voice agents Proven hands-on experience building with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning, etc.) Experience taking ML models from prototype to production and care deeply about reliability, performance, and scalability Fluent in English, (bilingual in French is a big bonus!) Preferred Are comfortable navigating ambiguity and designing ML systems end-to-end without needing extremely detailed requirements Understand the trade-offs between cutting-edge research and pragmatic engineering, and can choose the right tool for the job Like working with large datasets, complex pipelines, and modern ML infra (distributed training, feature stores, monitoring, etc.) Benefits 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.