Robust voice-based conversational agents
We are tackling some of the core challenges facing existing AI solutions, including the ability to learn continually from new information in real-time and the need to dramatically reduce model training times. Using proprietary neuroscience-inspired AI technology, our team is building the next generation of voice-based conversational agents: intelligent, interactive, and with the common-sense reasoning lacking today.
Addressing some of the key challenges of current AI technology
We're Hiring ...
We are a team of researchers and engineers led by an experienced leadership team with a track record of building successful AI companies from the ground up. We are looking for talented individuals with strong analytical capabilities, machine learning experience and solid coding skills, who are passionate about delivering the next-generation of AI technology and building highly impactful products. If that’s you please email us at: email@example.com.
ML Research Scientists/Research Engineers
(Member of Technical Staff)
We are looking for applied ML researchers and engineers to help in developing our core AI technology. Candidates are expected to have strong analytical skills, solid grasp on the fundamentals of data-structures and algorithms, as well as a command of machine learning principles. We’re seeking individuals who are opinionated, but not dogmatic - first-principles thinkers who are ambitious and want to build something novel and impactful.
Strong candidates will have experience in ‘theory of deep learning’ and a broad understanding of the mathematics underlying the learning dynamics and generalization of deep neural networks. Candidates will conduct fundamental ML research and contribute to the building of Tenyx’s core ML engine.
NLP Research Scientists/Engineers
(Member of Technical Staff)
We are looking for applied ML researchers and engineers that want to build the next-generation of AI conversational agents. Candidates are expected to have strong analytical skills, solid grasp on the fundamentals of data-structures and algorithms, as well as a command of machine learning principles. We’re seeking individuals who are opinionated, but not dogmatic - first-principles thinkers who are ambitious and want to build something novel and impactful.
Strong candidates will have experience with a broad range of NLP problems, from CFGs and semantic parsing to TSS. Experience with utilizing, training, and evaluating Large Language Models (e.g. GPT3, OPT, Gopher, etc) is a plus. Candidates should be up to speed with current trends and results in the NLP community. Folks working with the NLP team will contribute to the development of our novel NLU / NLG engine.
Who we are
First and foremost, we are a team of researchers and engineers passionate about building truly intelligent machines. Our conviction is that intelligent machines will pave the way to addressing some of humanity's greatest challenges; from drug discovery and education to climate change. We are pursuing a pragmatic roadmap delivering significant improvements to existing AI capabilities which will endow machines with the ability to solve problems that are currently considered beyond the scope of AI technologies.
Tenyx is led by the founding team behind Apprente, which developed the world’s first voice-based AI solutions to automate the order-taking process at drive-thru restaurants. Apprente was acquired by McDonald’s Corporation and subsequently by IBM. The seasoned leadership at Tenyx includes Dr. Itamar Arel, a former professor of AI and CEO at Apprente, and Prof. Ron Chrisley, an established AI researcher and head of the Cognitive Science program at Sussex University. Among its advisors are renowned AI and neuroscience researchers, including professors Noah Goodman, David Eagleman and Shaul Druckmann all from Stanford University.
Our initial product focus is on utilizing our groundbreaking research outcomes to build the next-generation of intelligent voice-based agents using our proprietary neuroscience-inspired AI technology. Leveraging our novel technological capabilities, Tenyx will deliver platforms that allow customers across multiple industries to rapidly deploy automated solutions that will dramatically reduce operating expenses while vastly improving both service levels and the overall customer experience.
© 2022 by Tenyx, Inc.