Deepchecks is the trust layer backbone for the Generative AI revolution, building the critical testing infrastructure needed to enable the next generation of AI: Agentic Systems. We provide an end-to-end platform that goes beyond simple metrics to evaluate complex, multi-step LLM workflows. Our technology employs a swarm of specialized evaluation agents to validate complex AI workflows and isolate the root cause of errors. We empower organizations to solve the "black box" problem, ensuring their agents are reliable, safe, and hallucination-free from the first prototype to high-scale production.

About the Role

As an Applied Data Scientist, you will research, design, and implement complex algorithms that assess and monitor AI systems, including cutting-edge LLM applications. You will work in a high-paced environment where impact is key. You will collaborate closely with our engineering and product teams to push the boundaries of what automated AI evaluation can achieve, ensuring our users get the most reliable and actionable insights possible.

Required Qualifications

• B.Sc. in Computer Science, Mathematics, Physics, or a related quantitative field (M.Sc./Ph.D. is a plus).
• At least 3 years of industry experience in Machine Learning or Data Science.
• Strong proficiency in Python and the data science stack (e.g.pandas, scikit-learn, pytorch/tensorflow).
• Experience with NLP, Large Language Models (LLMs) and agentic frameworks – A Big Plus.
• Ability to write high-quality, production-grade code and work within a software engineering workflow (CI/CD, code reviews, testing).
• Fast learner with a passion for solving hard algorithmic problems.
• Results-oriented mindset, can-do attitude, and a focus on delivering impact and value.