Wave Mobile Money

Wave is building a cashless Africa in Senegal, Cote d'Ivoire, Uganda, Burkina Faso, Gambia & Mali. Find us @www.wave.com

Applied AI Scientist - LLMs & Voice

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2017H1B SponsorCompany SiteLinkedIn

Location

United States + 8 moreAll locations: United States, United Kingdom, Canada, Spain, Burkina Faso, Côte D'ivoire, Ghana, Kenya, Senegal

Posted

52 days ago

Salary

$227.9K / year

PythonMachine LearningLLMRAGEmbeddingsFine TuningAgent OrchestrationSpeech RecognitionText TO SpeechReal Time StreamingVoice AgentsGraph QLPostgre SQLKubernetesGoogle Cloud PlatformStatistics

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As an Applied AI Scientist on our Support Automation product team, you'll:

  • 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.

If you're energized by ownership, thrive on deep technical challenges, and want to build infrastructure that serves millions in emerging markets, let's talk.

Our stack (prior experience is a strong plus, but not required):

  • Backend: Python 3 (+ mypy)
  • API layer: GraphQL
  • Android frontend: Kotlin/Jetpack
  • iOS frontend: Swift/SwiftUI
  • Web frontend: TypeScript/React
  • Database: Postgres/CockroachDB
  • Infrastructure: GCP/Terraform
  • Orchestration: Kubernetes

Qualifications

  • 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

Requirements

  • 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

  • This is a fully remote role. Candidates must be based in one of our talent hub countries (US, Canada, UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.
  • Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.
  • Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year.
  • Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary up to $227,900, plus a generous equity package.
  • 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.

Job 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
  • 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

  • This is a fully remote role. Candidates must be based in one of our talent hub countries (US, Canada, UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.
  • Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.
  • Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year.
  • Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary up to $227,900, plus a generous equity package.
  • 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.

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