Intrinsic
Senior AI Research Scientist - Vision-guided robotics(m/w/x)
Full-timeOn-siteSenior
München, Zürich
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INIntrinsic
Research Scientist, Deep Learning(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Applied research in geometric computer vision for industrial robotics, mitigating Deep Learning hallucination risks. Master's/PhD in CS/Robotics with 3 years in robotics software/research, plus ML/DL frameworks proficiency required. Directly shaping intelligent, accessible industrial robotics.
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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Jax
- Tensorflow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Intrinsic and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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INIntrinsic
Research Scientist, Deep Learning(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Applied research in geometric computer vision for industrial robotics, mitigating Deep Learning hallucination risks. Master's/PhD in CS/Robotics with 3 years in robotics software/research, plus ML/DL frameworks proficiency required. Directly shaping intelligent, accessible industrial robotics.
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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Jax
- Tensorflow
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Intrinsic and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Intrinsic
Industry
IT
Description
The company aims to reimagine the potential of industrial robotics, making it intelligent and accessible for businesses and developers.
Not a perfect match?
- Intrinsic
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Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperiencedSchlieren - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperiencedSchlieren - NVIDIA Switzerland AG
Research Scientist, ML Systems - PhD New College Grad(m/w/x)
Full-timeOn-siteExperiencedZürich