Machine Learning Engineer

We are looking for people who have demonstrated incredible findings from top universities or shipped product at top 1% organizations e.g. Tesla, Boston Dynamics etc.

We are seeking a Senior / Principal Research Engineer to lead the development and deployment of next-generation multi-modal AI systems for our robot platform. This role requires a unique blend of deep theoretical knowledge (applied mathematics, computer vision) and hands-on experience shipping large-scale, mission-critical products.

The ideal candidate will translate their expertise in multi-modal foundation models (LLMs / VLMs) into the real-time, physical autonomy required by a robot, driving innovation from architectural concept through deployment.

Key Responsibilities and Impact

• Robot Vision Architecture : Define and scope the complete vision architecture for our humanoid robot, including sensor selection, onboard compute specifications, and the design of multi-modal algorithms that enable robust autonomy.
• Foundation Model Adaptation for Embodiment : Lead the fine-tuning, adaptation, and distillation of LLMs / VLMs for domain-specific, real-time applications, enabling the robot to perform complex, language-guided tasks (RAG workflows) in physical space.
• 3D Perception & Spatial Awareness : Architect and implement algorithms for multi-view 3D reconstruction, Structure from Motion (SfM), and SLAM to provide the humanoid with accurate spatial understanding and the ability to navigate and interact with its environment.
• Real-Time Human-Robot Interaction (HRI) : Develop and deploy robust, real-time, multi-modal algorithms to analyze and understand complex human activity, intent, and behavior, allowing the robot to collaborate naturally.
• Full-Stack Deployment : Lead a distributed team in implementing algorithms in Python and C / C++, deploying them as scalable services using Docker, AWS / GCP, and CI / CD pipelines for both simulation and physical robot deployment.
• Research & Strategy : Drive strategic direction by selecting and evaluating cutting-edge technologies, and drafting patents for core intellectual property that defines the robot's intelligence.

Required Technical Qualifications

Applied Mathematics & Control Systems

Software & Deployment

Experience

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology, Design, and Other

Industries : Robotics Engineering, Robot Manufacturing, and Engineering Services

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