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Research Scientist, Deep Learning(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- Jax
- Tensorflow
Noch nicht perfekt?
- IntrinsicVollzeitnur vor OrtSeniorMünchen, Zürich
- NVIDIA Switzerland AG
Robotics Research Intern(m/w/x)
VollzeitPraktikumnur vor OrtZürich - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Vollzeitnur vor OrtBerufserfahrenSchlieren - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Vollzeitnur vor OrtBerufserfahrenSchlieren - NVIDIA Switzerland AG
Research Scientist, ML Systems - PhD New College Grad(m/w/x)
Vollzeitnur vor OrtBerufserfahrenZürich
Research Scientist, Deep Learning(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- Jax
- Tensorflow
Über das Unternehmen
Intrinsic
Branche
IT
Beschreibung
The company aims to reimagine the potential of industrial robotics, making it intelligent and accessible for businesses and developers.
Noch nicht perfekt?
- Intrinsic
Senior AI Research Scientist - Vision-guided robotics(m/w/x)
Vollzeitnur vor OrtSeniorMünchen, Zürich - NVIDIA Switzerland AG
Robotics Research Intern(m/w/x)
VollzeitPraktikumnur vor OrtZürich - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Vollzeitnur vor OrtBerufserfahrenSchlieren - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Vollzeitnur vor OrtBerufserfahrenSchlieren - NVIDIA Switzerland AG
Research Scientist, ML Systems - PhD New College Grad(m/w/x)
Vollzeitnur vor OrtBerufserfahrenZürich