Intern, Next Gen AI Robotics
Lila Sciences, Cambridge, MA, United States
As a Intern, Next Gen AI Robotics at Lila, you will assist in the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You’ll help to develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering.
What You'll Be Building
Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms
Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures
Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution
Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios
Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems
What You’ll Need to Succeed
In-progress Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience
Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics
Proficiency with ROS/ROS2, C++, and Python, with hands‑on experience building robotic systems in real-world environments
Understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors)
Proven ability to take robotic systems from concept through to deployment
Bonus Points For
Experience with dual-arm mobile manipulation systems or other high-DOF robotic platforms
Familiarity with simulation tools such as Gazebo, Isaac Sim, or PyBullet
Background in machine learning for perception, control, or adaptive planning
Experience with real-time decision-making in human-robot collaboration scenarios
Strong publication or patent record in robotics, autonomy, or perception
About Lila Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai
If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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What You'll Be Building
Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms
Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures
Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution
Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios
Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems
What You’ll Need to Succeed
In-progress Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience
Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics
Proficiency with ROS/ROS2, C++, and Python, with hands‑on experience building robotic systems in real-world environments
Understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors)
Proven ability to take robotic systems from concept through to deployment
Bonus Points For
Experience with dual-arm mobile manipulation systems or other high-DOF robotic platforms
Familiarity with simulation tools such as Gazebo, Isaac Sim, or PyBullet
Background in machine learning for perception, control, or adaptive planning
Experience with real-time decision-making in human-robot collaboration scenarios
Strong publication or patent record in robotics, autonomy, or perception
About Lila Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai
If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
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