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Senior Machine Learning Scientist - LLM & Voice
Wave
Posted 3 months agoRemote (Ghana / Kenya)
Location
Remote (Ghana / Kenya)
Job Type
Full-time
Experience
Senior
Category
Information Technology
Job Description
Wave is hiring a
Senior
Machine
Learning
Scientist to join their
Support
Automation product team.
As the largest financial institution in
Senegal and Côte d'Ivoire with millions of users,
Wave believes the future of customer support lies in machines handling repetitive tasks so humans can focus on high-value interactions.
This fully remote role is open to candidates in
Ghana,
Kenya, US,
Canada, UK, or
Spain, or
Wave's operating markets in
Africa.
Salary up to $227,900 depending on level and location, plus generous equity.
Wave raised the largest
Series A in
Africa in 2021, backed by
Founders
Fund,
Sequoia
Heritage,
Stripe,
Ribbit
Capital, and Y Combinator.
Architect, evaluate, and optimize autonomous voice and digital agents powering 10M+ customer interactions per month across West Africa.
Own problems end-to-end from problem discovery to running in production, working alongside product and engineering leaders.
Proven hands-on experience building with LLMs including prompt engineering, RAG, embeddings, fine-tuning, and agent orchestration.
Bonus: research background in speech or LLMs, Voice AI experience (ASR, TTS, latency optimization, real-time streaming), experience building customer support or conversational AI systems, familiarity with low-resource language challenges.
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Requirements
- 5+ years of experience in AI/ML engineering.
- Strong Python and backend engineering skills.
- Solid foundation in statistics and ML theory.
- Track record taking ML models from prototype to production with care for reliability, performance, and scalability.
- Fluency with AI coding agents.
- Fluent in English; French bilingual is a big bonus.
Responsibilities
- Bridge research and production by building AI models and agent systems that ship into real products.
- Build for the hardest edge cases including poor connectivity, low literacy, and languages with little training data.
- Experiment with, evaluate, and integrate the latest voice and text models.
Benefits
- Subsidized health insurance for you and dependents.
- Retirement contributions.
- 6 months fully paid parental leave.
- Subsidized fertility assistance.
- Flexible vacation (21-30 days). $10,000 annual charitable donation matching. $1,200 yearly coworking stipend.
How to Apply
Fill out the application form on Wave's careers page and upload a resume in English plus a cover letter describing your interest in Wave and the role.