AI Scientist - AI Retrieval Systems and Graphs

AI Scientist – AI Retrieval Systems and Knowledge Graphs

Join  as an AI Scientist focused on retrieval systems and knowledge graphs.

As an AI Scientist, you will play a key role in developing Axiomatic’s verifiable scientific reasoning. You will design, prototype, develop, test, and iterate on the core architecture, manage data curation, conduct benchmarking, analyze reasoning flaws, and propose solutions. You will collaborate with cross‑functional teams of AI Engineers, Software Engineers, Physicists and other AI scientists, aligning development with customer and business needs.

• Contribute to the development of validated AI reasoning models and architectures, focusing on automated reasoning techniques and application to scientific fields where rigor and reliability are essential.
• Supervise dataset curation, run benchmarks, and analyze performance results to guide improvements.
• Collaborate closely with a multidisciplinary team to solve challenging problems at the intersection of AI, physics and engineering.
• Develop detailed technical documentation and present research findings to internal teams and external stakeholders.
• Publish cutting‑edge research at top AI conferences and journals when opportunities arise.

• PhD in Data Science, Computer Science, Information Technology, Artificial Intelligence, Physics or a related field.
• 1–2 years of experience in a mathematical, engineering, scientific or technical setting.
• Relevant experience in knowledge graphs and retrieval systems.
• Strong communication and collaboration skills within multidisciplinary and multicultural environments.
• Curiosity and a proactive, solution‑oriented mindset.
• Thrives in a dynamic, fast‑paced environment and handles ambiguity with confidence.

• Proficiency in Python.
• Understanding of fundamental computer science principles.
• Solid grasp of machine learning principles and architectures.
• Fundamentals of statistics.
• Excellent research and analytical skills.
• Experience in ontology engineering and semantic modeling.
• Experience designing and developing Retrieval‑Augmented Generation (RAG) systems.
• Familiarity with Neo4j.
• Contributions to research (publications in top‑tier conferences) or open‑source projects.

• Proven excellence in relevant areas (awards, competition wins).
• Ability to independently solve complex problems or lead challenging projects.
• Academic or practical background in physics or other natural sciences/engineering.
• Experience with good coding practices and software development standards.
• Proficiency in agentic and deep‑learning frameworks.
• Hands‑on experience with large language models and or state‑of‑the‑art models.

• Competitive compensation.
• Stock Options Plan – share in Axiomatic’s success and growth.
• Access to cutting‑edge tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
• Work‑life balance – flexible work arrangements with potential options for remote work.
• Professional growth – opportunities to attend industry conferences, present research findings and engage with the global AI research community.
• Impact‑driven culture – join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.