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Senior Machine Learning Scientist - LLM & Voice
Wave Mobile Money
Posted 3 months agoRemote, Ghana
Location
Remote, Ghana
Job Type
Full-time
Experience
Senior
Category
Technology
Job Description
We're making Africa the first cashless continent.
In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash.
We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across 9 countries and are growing fast.
Our goal is to make Africa the first cashless continent and that's where you come in...
We care about the big picture. We don’t hire engineers to just ship tickets. We hire them to solve problems. That means caring deeply about outcomes, understanding context, and jumping in wherever something’s broken, even if it’s technically “not your area.” When we see problems, inefficiencies, or opportunities to make something better, we act. We dig into operational issues, clarify fuzzy product specs, or step into unfamiliar code to help unblock teammates.
We move as fast as possible. Speed matters. It lets us try things quickly, get feedback early, and course-correct while it’s cheap. So we write small PRs. We aim for MVPs. We leave TODOs and file follow-ups. We don’t over-perfect v1. That said, we’re building a financial product. Some things—like money movement, correctness, or security—deserve more caution.
We like boring technology. We favor tools that are reliable, well-understood, and easy to debug. This keeps us focused on solving meaningful problems instead of wrestling with unpredictable infrastructure. If a new technology helps us move faster, build safer, or solve a real need, we’ll consider it. But we don’t adopt tools just because they’re new—we adopt them because they’re right.
Simplicity is a strategy. It lets us focus our energy where it matters most: serving our users.
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Requirements
- 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
- Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.
- Major benefits:
- 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.
- 5+ years of experience in AI/ML engineering
- Strong Python and backend engineering skills
- Solid foundation in statistics and ML theory
- 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 lat
Responsibilities
- As a Senior Machine Learning Scientist on our Support Automation product team, you'll:
- Bridge research and production, building AI models and agent systems that ship into real products.
- 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.
Benefits
- We are on Y Combinator's top companies by revenue.
- Wave is an equal-opportunity e