About the Company
Beehive AI provides a generative AI platform designed specifically for an organization’s unique qualitative data. With self-learning language models, validated by human experts, and built-in statistical analysis, research and insights leaders can quickly, accurately, and safely analyze their qualitative data, and combine it with quantitative data, to generate more robust customer insights.
Beehive AI ingests data from any insights program running in the organization, breaking down silos between data sets and creating a more consistent approach to analysis. Unlike traditional ML/NLP tools that require manual setup and maintenance or new generative AI innovation that rely on generic LLMs and can put your corporate data at risk , Beehive AI uses generative AI and LLMs that are designed specifically for your organization, so you can safely and easily analyze qualitative data at scale, combine it with your quantitative data, and generate robust insights that more accurately reflect your business and your customer at any given point in time.
About the Position
As an Artificial Intelligence (Generative AI) Engineer, you will work on designing, developing, experimenting and maintaining various components of the Beehive AI algorithms and LLMs. You will need to work, often independently, on the full cycle of development starting from researching and experimenting with generative AI solutions all the way to implementing and productionalizing it.
Advanced Degree: PhD in Computer Science, AI, Linguistics, Applied Physics or related fields, with a focus on AI and natural language processing.
Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.
Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.
Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.
Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.
Proficiency in Python.
Flexible time off
Fun and challenging work environment
Technical mentorship and growth