Symbolica AI

HQ
San Francisco, California, USA
Total Offices: 2
19 Total Employees

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Jobs at Symbolica AI
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Recently posted jobs

15 Hours AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Software
You will build and ship core systems for Symbolica's AI products, focusing on Python-based solutions across SDK, APIs, and integrations, and collaborating with ML researchers.
2 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
As a Founding DevOps Engineer, you'll design and optimize infrastructure for ML tools, ensuring reliability and security while supporting research to production transition.
4 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
Senior Software Engineers will develop production-quality software from research prototypes, collaborating with ML teams and ensuring systems are reliable and maintainable.
7 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Software
Join Symbolica as the first Sourcing Recruiter, responsible for owning the sourcing strategy for technical AI roles, and building talent pipelines while engaging with unconventional channels.
14 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
Lead the development of a compiler stack and GPU kernels for a custom dependently typed language targeting symbolic AI models, collaborating closely with researchers and mathematicians.
24 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
As a Lead Frontend Engineer, you will develop user interfaces for AI systems, collaborating with researchers and engineers to create functional prototypes and improve UX based on user feedback.
24 Days AgoSaved
In-Office
London, Greater London, England, GBR
Artificial Intelligence • Software
Develop and maintain the TypeScript SDK, ensuring robust APIs for integration, optimizing performance, collaborating with teams, and writing clear documentation.
24 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Software
The ML Infrastructure Engineer will enhance tools and infrastructure for machine learning workflows, ensuring efficient model training and deployment while collaborating with ML scientists and engineers.