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 (Los Altos, CA)
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
Requirements:
- 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
- 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
Send cover letter with resume to: I. Arel at Tenyx, 5050 El Camino Real, Suite 200, Los Altos, CA 94022, or via email: jobs@tenyx.com. No calls.
Machine Learning Engineer (Los Altos, CA)
As a Machine Learning Engineer you will be responsible for building and maintaining the key models at the heart of our voice products. You will innovate constantly, bringing SOTA architectures, training techniques, and methodologies into the product. You will be involved in the full model development life-cycle training and evaluating large transformer models, and working closely with our research team to solve open questions, and adopt novel in-house technologies.
Specific duties include:
- Train models frequently
- Own the full model development life-cycle end-to-end
- Build, maintain and optimize ML training and data pipelines (often in collaboration with other teams)
- Introduce SOTA architectures, modeling, and training techniques into the product
- Collaborate with and introduce proprietary research into the core ML products
Requirements:
- PhD or MS (or foreign equivalent) in machine learning, applied mathematics or related field
- Proven experience working as an ML Engineer in related fields
- Mastery of fundamental data structures and algorithms Mastery of fundamental linear algebra and applied statistics
- A strong understanding of transformers and SOTA LLM modeling and fine-tuning techniques
- A strong grasp of deep learning frameworks such as PyTorch / Jax / Tensorflow
- Experience with ML-Ops tooling and cloud infrastructure
- Strong interpersonal skills
- Deep self awareness and high integrity
- Self motivated, resilient, able to work with ambiguity
- [nice to have] Experience working closely with product teams
- [nice to have] Experience working with voice / multi-modal products
Send cover letter with resume to: I. Arel at Tenyx, 5050 El Camino Real, Suite 200, Los Altos, CA 94022, or via email: jobs@tenyx.com. No calls.
Senior Backend Engineer (Los Altos, CA)
As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the scalable and efficient backend systems that power our ML voice products. As a key member of our engineering team, you'll collaborate cross-functionally with Product, ML, and Research teams, playing a pivotal role in shaping the future of our product and company.
Specific duties include:
- Design, develop, and maintain scalable, efficient, robust distributed systems
- Work cross-functionally with PM, Design, ML, and Research
- Maintain good coding practices/quality
- Implement and enforce security and compliance standards
- Mentor junior engineers
Requirements:
- CS or related undergraduate degree
- 4+ years experience in materially similar roles
- Mastery of fundamental data structures and algorithms
- Built and maintained large distributed systems
- Strong understanding of distributed systems design principles and event driven architectures
- Experience with infrastructure frameworks/tooling (e.g. Kubernetes, Docker, Terraform, Helm, etc)
- Experience with relational and NoSQL databases
- Strong problem solving skills
- Strong interpersonal skills
- Deep self awareness and high integrity
- Self motivated, resilient, able to work with ambiguity
- [nice to have] Worked with production python at some point in the last 5 years
- [nice to have] Experience with audio/video streaming
- [nice to have] Worked with ML / ML-adjacent products
Send cover letter with resume to: I. Arel at Tenyx, 5050 El Camino Real, Suite 200, Los Altos, CA 94022, 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 (Los Altos, CA)
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
Requirements:
- 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
- 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
Send cover letter with resume to: I. Arel at Tenyx, 5050 El Camino Real, Suite 200, Los Altos, CA 94022, or via email: jobs@tenyx.com. No calls.
Machine Learning Engineer (Los Altos, CA)
As a Machine Learning Engineer you will be responsible for building and maintaining the key models at the heart of our voice products. You will innovate constantly, bringing SOTA architectures, training techniques, and methodologies into the product. You will be involved in the full model development life-cycle training and evaluating large transformer models, and working closely with our research team to solve open questions, and adopt novel in-house technologies.
Specific duties include:
- Train models frequently
- Own the full model development life-cycle end-to-end
- Build, maintain and optimize ML training and data pipelines (often in collaboration with other teams)
- Introduce SOTA architectures, modeling, and training techniques into the product
- Collaborate with and introduce proprietary research into the core ML products
Requirements:
- PhD or MS (or foreign equivalent) in machine learning, applied mathematics or related field
- Proven experience working as an ML Engineer in related fields
- Mastery of fundamental data structures and algorithms Mastery of fundamental linear algebra and applied statistics
- A strong understanding of transformers and SOTA LLM modeling and fine-tuning techniques
- A strong grasp of deep learning frameworks such as PyTorch / Jax / Tensorflow
- Experience with ML-Ops tooling and cloud infrastructure
- Strong interpersonal skills
- Deep self awareness and high integrity
- Self motivated, resilient, able to work with ambiguity
- [nice to have] Experience working closely with product teams
- [nice to have] Experience working with voice / multi-modal products
Send cover letter with resume to: I. Arel at Tenyx, 5050 El Camino Real, Suite 200, Los Altos, CA 94022, or via email: jobs@tenyx.com. No calls.
Senior Backend Engineer (Los Altos, CA)
As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the scalable and efficient backend systems that power our ML voice products. As a key member of our engineering team, you'll collaborate cross-functionally with Product, ML, and Research teams, playing a pivotal role in shaping the future of our product and company.
Specific duties include:
- Design, develop, and maintain scalable, efficient, robust distributed systems
- Work cross-functionally with PM, Design, ML, and Research
- Maintain good coding practices/quality
- Implement and enforce security and compliance standards
- Mentor junior engineers
Requirements:
- CS or related undergraduate degree
- 4+ years experience in materially similar roles
- Mastery of fundamental data structures and algorithms
- Built and maintained large distributed systems
- Strong understanding of distributed systems design principles and event driven architectures
- Experience with infrastructure frameworks/tooling (e.g. Kubernetes, Docker, Terraform, Helm, etc)
- Experience with relational and NoSQL databases
- Strong problem solving skills
- Strong interpersonal skills
- Deep self awareness and high integrity
- Self motivated, resilient, able to work with ambiguity
- [nice to have] Worked with production python at some point in the last 5 years
- [nice to have] Experience with audio/video streaming
- [nice to have] Worked with ML / ML-adjacent products
Send cover letter with resume to: I. Arel at Tenyx, 5050 El Camino Real, Suite 200, Los Altos, CA 94022, or via email: jobs@tenyx.com. No calls.