AI Research Engineer

About the job

Calvin Risk is a Swiss-based start-up helping companies create and manage trustworthy AI that is aligned with humanity. Founded in 2022 as an ETH Zurich spin-off, the company is building the most advanced platform for assessing risks associated with AI in commercial use and managing them throughout the entire product lifecycle. The Calvin platform creates a much-needed framework for transparency, governance and standardization for enterprises to manage their AI portfolios, while ensuring that AI remains safe and compliant with the highest ethical standards and impending regulatory requirements.

This is an opportunity to join a start-up at its earliest stages as an AI Research engineer to develop and refine AI risk quantification methodologies. It is a chance to help build up a fast-growing research team, and an opportunity to develop a cutting-edge AI risk management platform. Be part of an interdisciplinary team of technical and non-technical experts and experience a thriving, innovative, and collaborative environment.

What you will do as an AI research engineer

• Architect Risk Engines: Design and implement scalable methodologies to quantify AI risks (robustness, bias, explainability) and bake them into our core platform.
• Battle-Test Models: Validate your frameworks against real-world AI incidents, refining them to withstand the chaos of production environments.
• Technological Scouting: Stay at the bleeding edge of LLM evaluation, adversarial attacks, and interpretability, integrating the best tech into our product.
• Customer-Centric Engineering: Translate complex mathematical risks into actionable metrics that align with real-world enterprise data and business needs.
• Thought Leadership: Represent Calvin Risk at top-tier global conferences (NeurIPS, ICML) and corporate summits as the technical authority on AI safety.

Who you are

• A Pragmatic Researcher: You have a deep background in scientific methodology, but you’re driven by building products, not just publishing papers.
• Technical Depth: You have significant experience in AI/ML development. If your GitHub or CV shows work in explainability (XAI), adversarial robustness, or uncertainty quantification, you’re at the top of our list.
• Systems Thinker: You understand that "perfect" is the enemy of "deployed." You can balance rigorous scientific accuracy with the constraints of data availability and tight shipping cycles.
• Collaborative Builder: You thrive in an interdisciplinary environment and are excited to wear multiple hats—from refining an algorithm to helping shape the product roadmap.

Why Calvin Risk?

We follow the REEEEF principle as our guideline to success: respect, efficiency, entrepreneurship, excellence, empathy, fun. We cherish character traits such as result orientation, a sense of responsibility, integrity, and passion. This is a no-ego, no-BS zone — and we’re committed to keeping it that way. No matter who you are or where you’re from, you are highly welcome at Calvin Risk!