Senior Machine Learning Scientist – LLM, Voice

Job Description: • 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. Requirements: • 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 • Bonus points: • Research background in speech or LLMs • Proven Voice AI experience (ASR, TTS, latency optimization, real-time streaming, voice agents) • Experience building customer support or conversational AI systems • You follow the latest research in speech and LLMs, and know how to translate papers into production wins • Familiarity with low-resource language challenges • Fluent in English (bilingual in French is a big bonus!). 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.