Head of Lab Platform
The Head of Lab Platform is responsible for leading and operating the lab platform, including providing strategic direction and oversight for lab platform scientists across high throughput validation, data collection, and automation workstreams. They manage and conduct the screening workloads with the team and work with the Head of Operations to organize lab operations. They foster a collaborative, innovative environment promoting technical excellence and continuous learning, mentor and develop team members, and manage and develop CRO partnerships to ensure data quality and turnaround times. Additionally, they develop and own a comprehensive lab platform strategy, focusing on high throughput validation, expanding data collection capabilities, and progressing toward full lab autonomy. The role includes identifying, evaluating, and integrating new automation hardware and software, prioritizing platform development areas with high scientific impact and commercial success potential, and executing plans to connect laboratory workflows with agentic AI systems for closed-loop experimental design, execution, and learning. The position requires close collaboration with computational biologists, machine learners, and software engineers to deeply integrate the experimental platform with AI workflows, ensure seamless data integration and interoperability across platform components, and integrate external services into the experimental platform workflows.
Tech Lead Manager SWE, SDK
Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Solutions Product Manager
As a Senior AI Research Scientist for Perception for Contact Rich Manipulation, you will lead the research and development of novel deep learning algorithms to enable robots to perform complex, contact-rich manipulation tasks. Your responsibilities include exploring the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments, and creating models that integrate visual data to guide physical manipulation beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Additionally, you will research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, design algorithms for high-precision manipulation of complex or deformable objects, collaborate with software engineers to optimize and deploy prototypes onto robotic hardware, evaluate model performance in simulation and real-world environments, identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to industrial problems, and mentor junior researchers while contributing to the technical direction of the manipulation research roadmap.
Senior Recruiter
As a Senior AI Research Scientist for Perception for Contact Rich Manipulation, you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. Responsibilities include researching and developing deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, designing algorithms for manipulating complex or deformable objects with high precision, collaborating with software engineers to optimize and deploy research prototypes onto physical robotic hardware, evaluating model performance in simulation and real-world environments to ensure robustness and reliability, identifying opportunities to apply state-of-the-art advancements in computer vision and robot learning to industrial problems, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.
Employee Programs & Operations Manager
Lead the research and development of novel deep learning algorithms enabling robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control to design systems that allow robots to perceive and interact with objects in dynamic environments. Create models integrating visual data to guide physical manipulation beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities for deployment on physical hardware in industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms for high-precision manipulation of complex or deformable objects. Collaborate with software engineers to optimize and deploy research prototypes onto robotic hardware. Evaluate model performance in simulation and real-world environments for robustness and reliability. Identify opportunities to apply state-of-the-art computer vision and robot learning advancements to industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Recruiting Programs & Operations Manager
Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control by designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models integrating visual data to guide physical manipulation beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team to translate concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Software Engineer, Developer Experience
Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Deep Learning Engineer, Perception
As a Senior AI Research Scientist for Vision-guided robotics, the role involves leading the research and development of novel deep learning algorithms enabling robots to perform complex, contact-rich manipulation tasks. Responsibilities include researching and developing deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, designing algorithms for precise manipulation of complex or deformable objects, collaborating with software engineers to optimize and deploy research prototypes on physical robotic hardware, evaluating model performance in both simulation and real-world environments for robustness and reliability, identifying opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.
Automation Lab Engineer
Lead the research and development of novel deep learning algorithms for visual perception and sensorimotor control in contact-rich robotic manipulation tasks, including designing systems that integrate visual data to guide physical manipulation beyond simple grasping. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware, evaluate model performance in simulation and real-world environments for robustness and reliability, and identify opportunities to apply state-of-the-art computer vision and robot learning advancements to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Performance Application Engineer, Intelligent Factory
Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
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