Role overview
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.
#LI-DH1 #LI-REMOTE
What we're looking for
- 5 years of ML experience
- Strong proficiency in Python and common ML libraries
- Solid theoretical foundation in stats and ML.
- Experience working with voice agents
- Proven hands-on experience building with LLMs or NLP systems (prompt engineering, RAG, embeddings, fine-tuning, etc.).
- Experience taking ML models from prototype to production and care deeply about reliability, performance, and scalability.
- Fluent in English, (bilingual in French is a big bonus!)
Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role.
We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals.
Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.