The Next Dimension in Structured Reasoning...
Symbolica is building the new foundation for enterprise-scale AI — controllable, interpretable, reliable, and secure. We are expanding our team and seeking an experienced machine learning scientist to lead efforts on the development of our cutting-edge formal language models. This is an opportunity to be part of a transformative project and make significant contributions to the field of AI.
We are seeking aMachine Learning Engineerto join our Shoreditch office. This role involves implementing, optimizing, and scaling state-of-the-art machine learning models inspired by cutting-edge research. You will play a key role in bridging theory and practice, ensuring that our innovative approaches are robust, efficient, and ready for real-world application.
Responsibilities
- Develop and optimize machine learning pipelines and models, with a focus on categorical deep learning applications.
- Collaborate with researchers to translate theoretical insights into scalable implementations.
- Build and maintain software systems for experimentation, training, and deployment of models.
- Benchmark, debug, and improve model performance on structured reasoning tasks.
- Stay updated with the latest tools and techniques in machine learning and software engineering to enhance our workflows.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD is a plus).
- Strong background in software engineering principles, including version control, testing, and performance optimization.
- Familiarity with functional programming languages (e.g., Haskell, Scala) is a plus.
- Experience deploying machine learning models in production environments.
- Interest in category theory, type theory, or structured reasoning is highly desirable.
Details
This role is based inour Shoreditch office in London.
We offer competitive compensation, including equity. Salary and equity levels are commensurate with experience.
At Symbolica.ai, our mission is to revolutionize the AI landscape by creating groundbreaking machine learning solutions that are radically transparent, highly efficient, and meticulously compliant. We strive to push the boundaries of innovation, delivering AI technology that not only outperforms current standards but also meets the rigorous demands of industries requiring utmost reliability and security.
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