Speechmatics | AI Voice Agents
Mini tools
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society’s ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we’re building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
Research Scientist, Robotics
Basis
On-site
New York, NY, United States
Full-time
$120,000 -
$180,000
About Basis
About the Role
Research scientists lead Basis’ efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
Qualifications
Have a PhD (or equivalent research experience) in a relevant area such as Robotics, Computer Science, Electrical Engineering, or a related quantitative field.
Have hands-on experience with real-world robots, including:
Working with robotic hardware, APIs, and real-time control systems.
Integrating and utilizing camera systems and other sensors for robotic perception.
Developing and deploying robotic control policies for manipulation tasks.
Have experience with relevant aspects of machine learning for robotics, particularly some of the following:
Deep learning architectures for vision and language processing in robotics.
Imitation learning and reinforcement learning for robotic control.
Techniques for robust generalization to unseen tasks, objects, and environments.
Have demonstrated an ability to conduct first-class scientific research, published in venues such as CoRL, ICRA, RSS, NeurIPS, ICML, or in technical reports.
Have demonstrated an ability to write excellent software.
Be excited about solving real-world problems and having a positive societal impact.
Have hands-on experience with real-world robots, including:
Working with robotic hardware, APIs, and real-time control systems.
Integrating and utilizing camera systems and other sensors for robotic perception.
Developing and deploying robotic control policies for manipulation tasks.
Have experience with relevant aspects of machine learning for robotics, particularly some of the following:
Deep learning architectures for vision and language processing in robotics.
Imitation learning and reinforcement learning for robotic control.
Techniques for robust generalization to unseen tasks, objects, and environments.
Have demonstrated an ability to conduct first-class scientific research, published in venues such as CoRL, ICRA, RSS, NeurIPS, ICML, or in technical reports.
Have demonstrated an ability to write excellent software.
Be excited about solving real-world problems and having a positive societal impact.
Responsibilities
Contribute to the design, implementation, and deployment of foundational robotic control systems.
Collaborate with domain experts on Basis scientific and societal challenge problems involving robotic interaction.
Collaborate with domain experts on Basis scientific and societal challenge problems.
Develop and maintain open-source software.
Publish and present findings in journals and conferences (optional).
Contribute to the culture and direction of Basis.
Collaborate with domain experts on Basis scientific and societal challenge problems involving robotic interaction.
Collaborate with domain experts on Basis scientific and societal challenge problems.
Develop and maintain open-source software.
Publish and present findings in journals and conferences (optional).
Contribute to the culture and direction of Basis.
