MindsDB

HQ
Berkeley, California, USA
18 Total Employees
Year Founded: 2017

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Jobs at MindsDB
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Recently posted jobs

2 Days Ago
San Francisco, CA, USA
Artificial Intelligence • Machine Learning • Database
As a Machine Learning Engineer at MindsDB, you'll develop advanced machine learning solutions, including Text-to-SQL systems and optimize Retrieval Augmented Generation (RAG). Your work will involve fine-tuning transformer models and collaborating with teams to solve complex problems while employing strong software engineering skills.
5 Days Ago
7 Locations
Artificial Intelligence • Machine Learning • Database
The Office Manager at MindsDB will oversee office facilities, manage vendor relations, maintain office supplies, and ensure a safe work environment. This role includes coordinating events, managing visitor access, and addressing the needs of staff while fostering a vibrant culture. Strong organizational skills and multitasking abilities are essential in this dynamic startup atmosphere.
10 Days Ago
San Francisco, CA, USA
Artificial Intelligence • Machine Learning • Database
As a Backend Engineer at MindsDB, you will ensure the stability, performance, and security of the backend systems using Python and Flask, improve existing components, design solutions for better user experience, and collaborate with cross-functional teams to maintain high-quality technical standards.
11 Days Ago
7 Locations
Artificial Intelligence • Machine Learning • Database
The Sales Engineer will collaborate with partnerships and sales teams to provide technical guidance and tailor AI solutions to customer needs. Responsibilities include leading technical discussions, creating reference architectures, and maintaining market expertise in AI and ML models to enhance customer experience.
20 Days Ago
7 Locations
Artificial Intelligence • Machine Learning • Database
The Applied ML Engineer will work with the business development team to provide technical guidance and AI solutions to customers using MindsDB. Responsibilities include customer engagement, technical discovery, creating reference architectures, and integrating modern AI/ML libraries into customer solutions.