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Physical AI Padawan Wanted – Robotics Internship(m/w/x)
Building Physical AI for robots manipulating deformable materials with genAI simulation. Strong Python and PyTorch fundamentals required. Flexible working setup, speciality coffee at office.
Anforderungen
- Computer vision, computer science, informatics, robotics, or equivalent background
- Strong Python and PyTorch fundamentals
- Excitement for model training, evaluation, and failure modes
- Experience with ML pipelines, cloud infrastructure, or MLOps tooling
- Focus on real-world performance over experimental results
- Ability to move fast, think clearly, and fix issues
- Comfort operating without perfect structure
- English fluency
- Experience with robotics, industrial AI, or embodied systems
- Vision Language Models or scene understanding exposure
- Model optimisation (TensorRT, quantisation, PTQ)
- Experience in productionizing machine learning solutions
Aufgaben
- Make Physical AI work in reality
- Support building and scaling AI systems for real robots
- Contribute to deep learning model development for computer vision and manipulation
- Collaborate on designing and maintaining end-to-end ML pipelines
- Own experiment tracking and reproducibility
- Maintain model lifecycle discipline
- Push model performance for robustness in real-world conditions
- Automate training workflows and hyperparameter optimization
- Iterate on model development loops
- Work closely with robotics, MLOps, and simulation teams
- Help shape sewts.JUPITER into a production-grade platform
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- PyTorch
- ML pipelines
- cloud infrastructure
- MLOps tooling
- TensorRT
- quantisation
- PTQ
Benefits
Snacks & Getränke
- Speciality coffee at office
Flexibles Arbeiten
- Flexible working setup
Team Events & Ausflüge
- Regular team events
Lockere Unternehmenskultur
- High trust
- Low bureaucracy
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Physical AI Padawan Wanted – Robotics Internship(m/w/x)
Building Physical AI for robots manipulating deformable materials with genAI simulation. Strong Python and PyTorch fundamentals required. Flexible working setup, speciality coffee at office.
Anforderungen
- Computer vision, computer science, informatics, robotics, or equivalent background
- Strong Python and PyTorch fundamentals
- Excitement for model training, evaluation, and failure modes
- Experience with ML pipelines, cloud infrastructure, or MLOps tooling
- Focus on real-world performance over experimental results
- Ability to move fast, think clearly, and fix issues
- Comfort operating without perfect structure
- English fluency
- Experience with robotics, industrial AI, or embodied systems
- Vision Language Models or scene understanding exposure
- Model optimisation (TensorRT, quantisation, PTQ)
- Experience in productionizing machine learning solutions
Aufgaben
- Make Physical AI work in reality
- Support building and scaling AI systems for real robots
- Contribute to deep learning model development for computer vision and manipulation
- Collaborate on designing and maintaining end-to-end ML pipelines
- Own experiment tracking and reproducibility
- Maintain model lifecycle discipline
- Push model performance for robustness in real-world conditions
- Automate training workflows and hyperparameter optimization
- Iterate on model development loops
- Work closely with robotics, MLOps, and simulation teams
- Help shape sewts.JUPITER into a production-grade platform
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- PyTorch
- ML pipelines
- cloud infrastructure
- MLOps tooling
- TensorRT
- quantisation
- PTQ
Benefits
Snacks & Getränke
- Speciality coffee at office
Flexibles Arbeiten
- Flexible working setup
Team Events & Ausflüge
- Regular team events
Lockere Unternehmenskultur
- High trust
- Low bureaucracy
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
sewts
Branche
IT
Beschreibung
The company is an emerging robotics startup automating complex processes by teaching robots human-like perception skills.
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