Urgent
Machine Learning Engineer
Recursive Inc.
- Python
- Machine Learning
- MLOps
- Generative AI
- Data Engineering
- Artificial Intelligence
- Aerospace
- Computer Science
- Physics
- Electrical Engineering
About Recursive Japan's enterprises are sitting on one of the largest AI opportunities in the world, and most of them aren't yet built to seize it. Recursive exists to close that gap: we build the AI solutions and systems that help Japan's leading enterprises compete in what comes next, and in doing so, help build a fairer, more sustainable society. This is a front-row seat to that transformation. Recursive builds custom, production-grade AI agents and applied machine learning for major Japanese enterprises, including Suntory, KDDI, IHI, Sumitomo Forestry, MS&AD, and CyberAgent. Founded by an ex-Google DeepMind engineer, we translate state-of-the-art AI research into solutions that ship, from generative AI for enterprise data to physics-inspired neural networks for simulating environmental systems, a first for a Japanese company. We're scaling 2–3x over the next 12 months, driven by both new funding and expanding client revenue. As we grow, we need machine learning engineers who can take a problem from research hypothesis all the way into a reliable production system. About the team You'll design, build, and ship machine learning models that solve real problems for major Japanese enterprises, owning the full arc from data and experimentation through to deployment and monitoring in production. This is applied AI: research-grade thinking, held to a production bar. You'll work close to both the latest ML research and the client's domain, and you'll be expected to communicate what you build clearly to experts and non-experts alike. You work on problems that matter, sustainability, efficiency, and innovation challenges for household-name Japanese enterprises, not internal demos You own the whole lifecycle: hypothesis, experimentation, modelling, deployment, and the monitoring and retraining that keep a model useful once it's live You sit close to cutting-edge research, with strong ties to academic ML and the freedom to apply new techniques to real problems Your level and scope grow with you, this role spans earl
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Tokyo
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11 to 100