AI Senior Engineer

We are a frontier AI company that has invented and patented a novel computational model for a new breed of intelligent systems. Unlike traditional deep learning and other neural networks-based technologies, Synthetic Cognition -our technology- learns directly from reasonable amounts of diverse data to generalize predictions "off-the-shelf".

We are licensing this technology to revolutionize Translational Medicine. Synthetic Cognition can integrate heterogeneous multi-omic sources, learn from minimal data, and produce state-of-the-art, fully explainable biomarker discoveries without requiring per-use-case engineering.

Leveraging this unique general-purpose capability, we are expanding our "one-for-all and zero ad-hoc engineering" paradigm to new use cases, aiming to become a new foundational AI technology for the Life Sciences value chain. About the Position

We are looking for adventurous and talented high-performance computing engineers and PhDs, willing to solve with us the grand challenge of machine intelligence. They will focus on the development of our fractal-like AI algorithm that, according to our novel computational model, synthesizes bio-like cognitive computation.

Synthetic Cognition is expressing unique characteristics: an agnostic master algorithm embodiable into any type of AI and any set of signal-domains, that with reasonable training data can learn, understand and generalize according to this knowledge the best predictions and solutions.

You will report to the CTO of the company., * Lead the design and optimization of our Fractal AI algorithm for general intelligence.

• Be part of the team that applies our Synthetic Cognition technology to laboratory or business use cases.
• Participate in the maturation of Synthetic Cognition as a product for data analysis.

• Engineering studies, or equivalent, in which the candidate has acquired a solid foundation in understanding and the functioning of the main ML and AI technologies.
• 4+ years experience in the development of ML/AI solutions.
• 2+ years experience in data processing and analysis
• Ideally experience in functional languages (Julia, Scala, Haskell,...), * Strong communication and presentation skills, capable of translating technical concepts into clear value propositions.
• Result-oriented, proactive, and comfortable working autonomously in a dynamic environment.
• Fluent in English.

Nice-to-Have Qualifications

• PhD in AI, Data Science, Information Theory, or related fields.
• Academic publications in relevant fields.