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.
Requirements:
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.
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.
This position is open to all candidates.
