Introducing Mbodi: Revolutionizing Robotics with Embodied AI
Mbodi is at the forefront of developing an embodied AI platform that enables robots to learn and perform tasks in a human-like manner through natural language interaction. Our innovative software empowers users to effortlessly teach robots new capabilities by simply conversing with them, allowing these machines to execute acquired skills reliably in real-world environments within minutes. We are spearheading a transformative era in robotics, where cutting-edge generative AI models, autonomous agent frameworks, and practical automation converge.
Our Vision and Partnerships
Supported by leading venture capital firms and recognized as part of the prestigious YC X25 cohort, Mbodi collaborates with prominent industrial giants such as ABB and Fortune 100 companies spanning manufacturing, logistics, and laboratory sectors. Our mission is to redefine automation by integrating advanced AI into physical systems, enhancing efficiency and adaptability across industries.
Leadership and Team Expertise
Our founding team combines deep expertise from Google and the University of Pennsylvania’s GRASP Lab, renowned for pioneering robotics research. We are assembling a compact, highly experienced group dedicated to tackling one of AI’s most formidable challenges: embedding intelligence seamlessly into the physical world.
Role Overview: Early Engineer at Mbodi
As an early engineering hire, you will play a pivotal role in designing, developing, and deploying state-of-the-art machine learning models and autonomous AI agents that drive robotic learning and behavior. This position offers a unique opportunity to influence our technology stack, company culture, and strategic direction from inception.
Key Responsibilities
- Engage in applied research at the nexus of generative AI and robotics, focusing on practical models and systems that function effectively in dynamic, real-world settings.
- Develop and refine algorithms for robot perception, planning, skill acquisition, and generalization across diverse and complex tasks.
- Engineer scalable, resilient systems that bridge foundational AI models with dependable physical execution, transforming theoretical advances into tangible outcomes.
- Collaborate cross-functionally with machine learning, robotics, and product teams to enhance agent orchestration and integrate intelligent systems seamlessly.
- Lead technical strategy, architectural design, and research initiatives from the outset, shaping the future trajectory of our platform.
Ideal Candidate Profile
- Demonstrated expertise in AI, robotics, machine learning, or autonomous agent systems.
- Proficient in Python and PyTorch, with hands-on experience in training, validating, and deploying neural network models.
- Familiarity with contemporary ML methodologies such as transformers, diffusion models, vision-language models, imitation learning, reinforcement learning, or foundational robotic models.
- Proven track record of delivering end-to-end systems beyond isolated model training.
- Comfortable navigating across diverse components including models, data pipelines, APIs, evaluation frameworks, and runtime environments.
- Strong commitment to system reliability, low latency, observability, and correctness in production-grade applications.
- Analytical mindset focused on identifying failure modes, handling edge cases, and ensuring robust system performance under stress.
- Adaptable, execution-driven, and thrives in the fast-paced, ambiguous environment typical of startups.
Why Mbodi Is the Right Place for You
Joining Mbodi means contributing to one of the most challenging and impactful frontiers in AI: embedding intelligence into tangible, physical systems. You will collaborate closely with the founding team to architect the core platform, spanning agent design, robotic learning, and deployment with global industrial clients.
We are cultivating a focused, senior team passionate about solving complex problems with real-world implications, offering a rare chance to make a significant mark in the robotics and AI landscape.
