Search the 6 jobs at Symbl.ai

As a Senior Backend Engineer at Symbl.ai, you will play a pivotal role in developing and maintaining the backbone of our systems, including our new product, Nebula. Your expertise in backend engineering and machine learning will be crucial in driving our technological advancements forward and ensuring the highest standards of performance and reliability.

As a Senior QA Engineer at Symbl.ai, you will play a pivotal role in ensuring the quality and reliability of products through expertise in QA automation, software development, and debugging. Responsibilities include developing robust QA strategies, collaborating with teams, debugging, mentorship, and continuous improvement initiatives. Must possess strong QA methodologies, automation, and software development skills.

As a Backend Engineer at Symbl.ai, you will play a pivotal role in developing and maintaining the backbone of our systems, including our new product, Nebula. Your expertise in backend engineering and machine learning will be crucial in driving our technological advancements forward and ensuring the highest standards of performance and reliability.

The Customer Engineer role at Symbl.ai involves leveraging technical expertise to support and optimize customer experiences with AI-powered solutions, ensuring seamless integration and satisfaction. Responsibilities include troubleshooting server-side and client-side code, working with containers and microservices, communicating technical issues, utilizing customer feedback for product improvements, and collaborating cross-functionally to find solutions for customers.

Join Symbl.ai as an ML Engineer - Generalist to develop and enhance the Conversation AI platform, particularly focusing on the Nebula product. Collaborate on innovative projects, optimize data pipelines, experiment for model improvement, and stay updated on ML advancements.

As an ML Engineer specializing in Inference at Symbl.ai, you will play a key role in the development and optimization of our large language model, Nebula, and other Conversation AI projects. Responsibilities include designing and implementing efficient algorithms for real-time inference, collaborating with teams to integrate ML models, optimizing models for resource-constrained environments, and contributing to documentation of best practices.