Nomagic
Research Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Zürich
Neuer Job?Nejo!
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NONomagic
Research Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building foundational models for physical AI using robotics deployment logs. Expertise in Robotics and ML required. Flexible working hours, relocation package.
Anforderungen
- Belief in physical AI through factory deployments
- Excitement for turning robotic stacks into foundational training data for physical AI
- Desire to bridge ML research and industrial robotic execution
- Expertise in Robotics and ML, or eagerness to learn
- Engineering or technical degree, or relevant sales experience
- Extensive automation and/or intralogistics experience
- Ability to engage customers on solution designs
- Successful logistics consultant or key account manager experience
- Very high empathy and signal understanding
- Excellent English communication
- Excellent German communication
- Ability to work in fast-changing scaleup environment
- Deep experience in ML, systems engineering, and robotics intersection
- Experience training, fine-tuning, deploying deep learning architectures
- Policies validated on real hardware
- Strong software engineering skills
- Strong infrastructure skills
- Proficiency in Python
- Proficiency in deep learning frameworks
- Ability to write clean, scalable code
- Comfort working hands-on with hardware
- Understanding of robotics full stack
- Ability to debug software-hardware failures
- Ability to move between research and implementation
- Preference for execution and iteration speed
- Preference for real-world robustness over theoretical purity
Aufgaben
- Design and implement core infrastructure for VLA model training
- Maintain scheduling, distribution, job management, and logging systems
- Build tools for launching, monitoring, and debugging complex experiments
- Utilize offline deployment logs to pre-train robust robot models
- Translate research needs into infra capabilities and track experiments
- Analyze results and collaborate with ML researchers to unblock progress
- Design new robotic tasks and physical setups for evaluation
- Configure and calibrate robots for real-world rollouts
- Run structured on-robot evaluations to measure success rates
- Analyze real-world results to guide ML research direction
- Identify and resolve operational bottlenecks in software and hardware
- Beta test internal and third-party tools for teaching new skills
- Write clear, structured documentation for workflow reproduction
Berufserfahrung
- 5 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- JAX
- Transformers
- VLMs
- VLAs
- Imitation Learning
- RL
Benefits
Flexibles Arbeiten
- Flexible working hours
Lockere Unternehmenskultur
- English-speaking environment
Sonstige Zulagen
- Relocation package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nomagic erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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NONomagic
Research Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building foundational models for physical AI using robotics deployment logs. Expertise in Robotics and ML required. Flexible working hours, relocation package.
Anforderungen
- Belief in physical AI through factory deployments
- Excitement for turning robotic stacks into foundational training data for physical AI
- Desire to bridge ML research and industrial robotic execution
- Expertise in Robotics and ML, or eagerness to learn
- Engineering or technical degree, or relevant sales experience
- Extensive automation and/or intralogistics experience
- Ability to engage customers on solution designs
- Successful logistics consultant or key account manager experience
- Very high empathy and signal understanding
- Excellent English communication
- Excellent German communication
- Ability to work in fast-changing scaleup environment
- Deep experience in ML, systems engineering, and robotics intersection
- Experience training, fine-tuning, deploying deep learning architectures
- Policies validated on real hardware
- Strong software engineering skills
- Strong infrastructure skills
- Proficiency in Python
- Proficiency in deep learning frameworks
- Ability to write clean, scalable code
- Comfort working hands-on with hardware
- Understanding of robotics full stack
- Ability to debug software-hardware failures
- Ability to move between research and implementation
- Preference for execution and iteration speed
- Preference for real-world robustness over theoretical purity
Aufgaben
- Design and implement core infrastructure for VLA model training
- Maintain scheduling, distribution, job management, and logging systems
- Build tools for launching, monitoring, and debugging complex experiments
- Utilize offline deployment logs to pre-train robust robot models
- Translate research needs into infra capabilities and track experiments
- Analyze results and collaborate with ML researchers to unblock progress
- Design new robotic tasks and physical setups for evaluation
- Configure and calibrate robots for real-world rollouts
- Run structured on-robot evaluations to measure success rates
- Analyze real-world results to guide ML research direction
- Identify and resolve operational bottlenecks in software and hardware
- Beta test internal and third-party tools for teaching new skills
- Write clear, structured documentation for workflow reproduction
Berufserfahrung
- 5 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- JAX
- Transformers
- VLMs
- VLAs
- Imitation Learning
- RL
Benefits
Flexibles Arbeiten
- Flexible working hours
Lockere Unternehmenskultur
- English-speaking environment
Sonstige Zulagen
- Relocation package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nomagic erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Nomagic
Branche
Science
Beschreibung
Nomagic is executing a pivot for general-purpose physical AI, leveraging robotics deployment logs to build foundational models for AI mastery.
Noch nicht perfekt?
- Nomagic
Research Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenZürich - ANYbotics
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Senior Automation Engineer (Robotics)(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen, Zürich - Ethon
Computer Vision Engineer, Applied ML(m/w/x)
Vollzeitmit HomeofficeSeniorZürich - Anthropic
Research Engineer / Research Scientist, Pre-training(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenZürichab CHF 280.000 - 680.000 / Jahr