About the Role
The role involves creating and refining machine learning systems that enable robots to perceive, reason, and act in complex environments, combining algorithmic innovation with real-world implementation.
Responsibilities
- Design and implement machine learning models for robotic systems
- Develop algorithms that enable autonomous behavior in dynamic environments
- Optimize perception and control pipelines for real-time performance
- Integrate sensor data from cameras, lidar, and other modalities
- Train and evaluate models using large-scale robotics datasets
- Improve system robustness through simulation and real-world testing
- Collaborate with software and hardware teams to deploy solutions
- Refine model accuracy and efficiency across diverse operating conditions
- Support the development of reinforcement learning frameworks
- Contribute to research initiatives in embodied AI
- Debug and troubleshoot issues in deployed robotic systems
- Document technical approaches and share findings across teams
- Stay current with advancements in robotics and deep learning
- Participate in architecture reviews and system design discussions
- Ensure compliance with safety and reliability standards
Nice to Have
- PhD in robotics, AI, or related discipline
- Publications in top-tier robotics or machine learning conferences
- Hands-on experience with hardware-in-the-loop testing
- Knowledge of model compression and inference optimization
- Experience with safety-critical systems development
- Familiarity with regulatory standards in robotics
- Background in human-robot interaction design
- Proficiency with version control and CI/CD pipelines
- Exposure to large-scale distributed training systems
- Understanding of ethical considerations in AI deployment
Compensation
Competitive salary based on experience
Work Arrangement
Remote position with flexible hours
Team
Collaborative engineering and research team focused on AI-driven robotics innovation
About the Role
This position focuses on building intelligent robotic systems using cutting-edge machine learning techniques. The candidate will work on improving autonomy through perception, planning, and control algorithms. Projects involve both simulation and real-world deployment.
What We're Looking For
We seek a technically strong individual with a passion for robotics and AI. The ideal candidate has hands-on experience developing and deploying ML models in physical systems and can bridge research with practical engineering.
Not specified
