Description

As a Research Scientist in Deep Learning, you will engage in cutting-edge research and algorithm design, focusing on enhancing industrial robotics through innovative AI solutions. This role involves collaboration with engineering teams and research partners to bridge the gap between advanced AI capabilities and practical applications in real-world settings.

Requirements

• •Master's or PhD degree in Computer Science, Robotics, or related field
• •3 years of experience in robotics software development or research
• •Proficiency programming in Python and ML/DL frameworks
• •Knowledge of robotics perception or manipulation algorithms
• •Experience working with robot hardware or simulation environments
• •Team player with a product mindset and willingness to learn
• •Advanced degree in Robotics, Computer Science, or related field
• •Expertise in deep learning and transformer-based approaches
• •Proven ability to apply robotics ML/AI research to real-world problems
• •Experience generating or utilizing synthetic data for machine learning
• •Publications in relevant robotics conferences or journals

Tasks

• •Conduct applied research in geometric computer vision
• •Design innovative algorithms for image and video processing
• •Define processes to mitigate hallucination risks in Deep Learning
• •Improve accuracy of algorithms for industrial robotics
• •Deploy algorithms on industrial robotics workcells
• •Gauge sim-to-real transfer of models
• •Provide input for synthetic data generation and annotations
• •Identify gaps in sim-to-real transfer for training models
• •Collaborate with research partners and engineering teams
• •Ideate new approaches for real-world industrial applications
• •Explore unfamiliar technologies for continuous learning
• •Proactively identify needs and bottlenecks in customer problems
• •Propose practical solutions for high throughput environments
• •Serve as a liaison between robotics and research teams
• •Provide engineering insights into research projects
• •Advise cross-functional teams on translating AI research into engineering
• •Document and develop prototypes for external users
• •Collaborate with R&D and other product groups

Tools & Technologies