Careers
Joining the Tenyx team is an opportunity to do your best work and expand your skills. Grow your career alongside the companies we empower as we push the limits and change the world of generative AI.
Research Scientist (Palo Alto, CA – multiple positions)
Conduct applied research and product development with a focus on ML and AI technologies using mathematical and analytical theories, techniques and tools.
Specific duties include:
- Developing mathematical models pertaining to deep learning models that mitigate catastrophic forgetting via non-gradient-based optimization.
- Developing hierarchical models of representation that capture regularities in observations and map those to a decision space whereby each layer of the hierarchy corresponds to a different spatiotemporal scale.
- Employing mathematical techniques derived from stochastic processes, linear algebra, estimation theory, and information theory.
- Developing and evaluating applied research code, including devising simulation and testing environments to illustrate the capabilities of new machine learning algorithms and architectures in various problem domains, including those involving visual and auditory input streams.
REQ: MS or foreign equivalent in Computer Science, Electrical Engineering, Applied Mathematics, or closely related field. Must have knowledge of linear algebra, calculus, and stochastic processes; machine learning theory and practice, including supervised and unsupervised learning algorithms, reinforcement learning, and sequential decision- making under uncertainty; and mathematical modeling techniques and data science, including classification and regression methods, regularization techniques, and ensemble learning methodologies. Must also have 2 years of experience (either in graduate school or post-graduate studies) with Python and PyTorch. Experience can be concurrent. Send cover letter with resume to: I. Arel at Tenyx, 455B Portage Avenue, Palo Alto, CA 94306 or via email: jobs@tenyx.com. No calls.
VP of Research and Development (Palo Alto, CA)
Lead the company’s research and development activities, including managing teams of engineers and researchers working on different aspects of the company’s software technology and products. Will have oversight of the company’s technical roadmap and will be responsible for delivering software solutions that utilize the company’s proprietary neuroscience-inspired machine learning technologies.
Specific duties include:
- Developing algorithms, software architectures, and code that implement a novel
machine learning framework developed by the company.
- Contributing to the mathematical modeling of these algorithms and to the Python
and PyTorch implementations of the code.
- Supporting the design of evaluation environments used to determine the
performance of the systems developed.
- Contributing to the successful deployment of the company’s solutions by
supporting customers with technical documentation and questions.
REQ: PhD or foreign equivalent in Computer Science, Computational/Applied Mathematics, Electrical Engineering, or Computer Engineering + 3 years of post- graduate software engineering experience, particularly with products involving machine learning technologies, including TTS and ASR systems and language identification; large language models and ontological development; and DRL/theory of deep learning. Required experience must include advanced linear algebra, optimization/approximation theory, and statistics; software system architecture (design principles, code & code quality principles, software deployment, and continuous integration); Advanced Python, Jupyter Notebooks, and Bash; and deep learning frameworks (SKLearn, MxNet, TensorFlow and PyTorch). Must also have 2 years of experience as an Engineering Manager or similar, overseeing R&D activities and leading software development teams of at least 20 PhD-level applied researchers in the AI space, and including experience with program management, delivering end-to-end, multi-month/year, cross-functional deep technical programs. Experience can be concurrent. Send cover letter w/resume to: I. Arel at Tenyx, 455B Portage Avenue, Palo Alto, CA 94036 or via email: jobs@tenyx.com. No calls.
Research Scientist (Palo Alto, CA – multiple positions)
Conduct applied research and product development with a focus on ML and AI technologies using mathematical and analytical theories, techniques and tools.
Specific duties include:
- Developing mathematical models pertaining to deep learning models that mitigate catastrophic forgetting via non-gradient-based optimization.
- Developing hierarchical models of representation that capture regularities in observations and map those to a decision space whereby each layer of the hierarchy corresponds to a different spatiotemporal scale.
- Employing mathematical techniques derived from stochastic processes, linear algebra, estimation theory, and information theory.
- Developing and evaluating applied research code, including devising simulation and testing environments to illustrate the capabilities of new machine learning algorithms and architectures in various problem domains, including those involving visual and auditory input streams.
REQ: MS or foreign equivalent in Computer Science, Electrical Engineering, Applied Mathematics, or closely related field. Must have knowledge of linear algebra, calculus, and stochastic processes; machine learning theory and practice, including supervised and unsupervised learning algorithms, reinforcement learning, and sequential decision- making under uncertainty; and mathematical modeling techniques and data science, including classification and regression methods, regularization techniques, and ensemble learning methodologies. Must also have 2 years of experience (either in graduate school or post-graduate studies) with Python and PyTorch. Experience can be concurrent. Send cover letter with resume to: I. Arel at Tenyx, 455B Portage Avenue, Palo Alto, CA 94306 or via email: itamar@tenyx.com. No calls.
VP of Research and Development (Palo Alto, CA)
Lead the company’s research and development activities, including managing teams of engineers and researchers working on different aspects of the company’s software technology and products. Will have oversight of the company’s technical roadmap and will be responsible for delivering software solutions that utilize the company’s proprietary neuroscience-inspired machine learning technologies.
Specific duties include:
- Developing algorithms, software architectures, and code that implement a novel
machine learning framework developed by the company.
- Contributing to the mathematical modeling of these algorithms and to the Python
and PyTorch implementations of the code.
- Supporting the design of evaluation environments used to determine the
performance of the systems developed.
- Contributing to the successful deployment of the company’s solutions by
supporting customers with technical documentation and questions.
REQ: PhD or foreign equivalent in Computer Science, Computational/Applied Mathematics, Electrical Engineering, or Computer Engineering + 3 years of post- graduate software engineering experience, particularly with products involving machine learning technologies, including TTS and ASR systems and language identification; large language models and ontological development; and DRL/theory of deep learning. Required experience must include advanced linear algebra, optimization/approximation theory, and statistics; software system architecture (design principles, code & code quality principles, software deployment, and continuous integration); Advanced Python, Jupyter Notebooks, and Bash; and deep learning frameworks (SKLearn, MxNet, TensorFlow and PyTorch). Must also have 2 years of experience as an Engineering Manager or similar, overseeing R&D activities and leading software development teams of at least 20 PhD-level applied researchers in the AI space, and including experience with program management, delivering end-to-end, multi-month/year, cross-functional deep technical programs. Experience can be concurrent. Send cover letter w/resume to: I. Arel at Tenyx, 455B Portage Avenue, Palo Alto, CA 94036 or via email: itamar@tenyx.com. No calls.
Research Scientist (Palo Alto, CA – multiple positions)
Conduct applied research and product development with a focus on ML and AI technologies using mathematical and analytical theories, techniques and tools.
Specific duties include:
- Developing mathematical models pertaining to deep learning models that mitigate catastrophic forgetting via non-gradient-based optimization.
- Developing hierarchical models of representation that capture regularities in observations and map those to a decision space whereby each layer of the hierarchy corresponds to a different spatiotemporal scale.
- Employing mathematical techniques derived from stochastic processes, linear algebra, estimation theory, and information theory.
- Developing and evaluating applied research code, including devising simulation and testing environments to illustrate the capabilities of new machine learning algorithms and architectures in various problem domains, including those involving visual and auditory input streams.
REQ: MS or foreign equivalent in Computer Science, Electrical Engineering, Applied Mathematics, or closely related field. Must have knowledge of linear algebra, calculus, and stochastic processes; machine learning theory and practice, including supervised and unsupervised learning algorithms, reinforcement learning, and sequential decision- making under uncertainty; and mathematical modeling techniques and data science, including classification and regression methods, regularization techniques, and ensemble learning methodologies. Must also have 2 years of experience (either in graduate school or post-graduate studies) with Python and PyTorch. Experience can be concurrent. Send cover letter with resume to: I. Arel at Tenyx, 455B Portage Avenue, Palo Alto, CA 94306 or via email: jobs@tenyx.com. No calls.
VP of Research and Development (Palo Alto, CA)
Lead the company’s research and development activities, including managing teams of engineers and researchers working on different aspects of the company’s software technology and products. Will have oversight of the company’s technical roadmap and will be responsible for delivering software solutions that utilize the company’s proprietary neuroscience-inspired machine learning technologies.
Specific duties include:
- Developing algorithms, software architectures, and code that implement a novel
machine learning framework developed by the company.
- Contributing to the mathematical modeling of these algorithms and to the Python
and PyTorch implementations of the code.
- Supporting the design of evaluation environments used to determine the
performance of the systems developed.
- Contributing to the successful deployment of the company’s solutions by
supporting customers with technical documentation and questions.
REQ: PhD or foreign equivalent in Computer Science, Computational/Applied Mathematics, Electrical Engineering, or Computer Engineering + 3 years of post- graduate software engineering experience, particularly with products involving machine learning technologies, including TTS and ASR systems and language identification; large language models and ontological development; and DRL/theory of deep learning. Required experience must include advanced linear algebra, optimization/approximation theory, and statistics; software system architecture (design principles, code & code quality principles, software deployment, and continuous integration); Advanced Python, Jupyter Notebooks, and Bash; and deep learning frameworks (SKLearn, MxNet, TensorFlow and PyTorch). Must also have 2 years of experience as an Engineering Manager or similar, overseeing R&D activities and leading software development teams of at least 20 PhD-level applied researchers in the AI space, and including experience with program management, delivering end-to-end, multi-month/year, cross-functional deep technical programs. Experience can be concurrent. Send cover letter w/resume to: I. Arel at Tenyx, 455B Portage Avenue, Palo Alto, CA 94036 or via email: jobs@tenyx.com. No calls.