Skip to main content
Hiring?Get vetted candidates in 48 hours.
W

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.
ProGigFinder Press

Fifty silent applications, or one that lands.

Pick any job above and pay $2.99 with MoMo or Card. In 60 seconds you get a CV written for that role: it passes the screening software and reads the way a recruiter expects.

Get my CV for this job: $2.99

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.