We're building LLM-powered tools to shape the future of AI-native research platforms.
💡 The Role
As a founding ML engineer, you’ll:
- Work on groundbreaking projects that combine LLMs and classic ML/NLP;
- Take ownership of novel research synthesis tools, end-to-end — from prototyping to production;
- Collaborate with external clients and internal teams to prioritize and ship ML-powered features;
- Translate ambiguous research needs into testable ML solutions and measurable outcomes;
- Help shape our AI/ML roadmap and internal best practices.
🔥 About You
You’re a product-minded ML engineer who thrives in early-stage environments and cares deeply about solving real problems with ML. You:
- Have experience building LLM-powered systems (from prompt tuning to infrastructure);
- Communicate clearly with non-technical stakeholders and clients and love making ML accessible;
- Are hands-on: you enjoy owning projects from data collection to deployment;
- Are bias-to-action, organized and can deliver big initiatives with minimal guidance;
- Have shipped ML/NLP features in production that impacted real users.
