Deep Learning Robot Manipulation Engineer

About this role

Persona is seeking a Deep Learning Manipulation Engineer to develop and implement advanced deep learning models for robotic dexterity. This role requires innovative problem-solving skills to progress robot manipulation capabilities, and the opportunity to significantly influence the team's strategies and infrastructure from the outset.

What you'll do

• Design and implement advanced deep learning models for robot manipulation.
• Train models using curriculum learning for various manipulation tasks.
• Incorporate tactile sensing into learning pipelines for robust policies.
• Collaborate with teams to design data collection strategies.
• Deploy models to robotic hardware ensuring performance and safety.
• Develop evaluation pipelines to test manipulation models.

What they're looking for

• 3+ years in deep learning for robotic manipulation.
• Masters or PhD in Robotics or Computer Science.
• Strong understanding of advanced deep learning algorithms.
• Experience with cloud computing and large datasets.
• Knowledge of real-world neural network deployment challenges.
• Strong software development capabilities.
• Ability to think critically and creatively.

Benefits

• Opportunity to shape early-stage projects.
• Work with cutting-edge technology.
• Collaborate with a world-class team.
• Engage in challenging and innovative work.
• Flexible work environment.