Robotics Platform Intern: ML Pipelines & Backend

ANYbotics

Zürich

Vor Ort

CHF 20.088 - 26.784

Vollzeit

14 Tage+

Erhalte mehr Antworten von Arbeitgebern

Versende in nur wenigen Minuten einen passgenauen Lebenslauf.

Benefits dieser Stelle

Hands-on experience
Mentorship from industry experts
Projects on cutting-edge robotics
Potential for future full-timeOpportun

Zusammenfassung

ANYbotics in Zürich is offering a 6-month internship starting September 2026 to join the A-team, focusing on building the internal platform for computer vision models and edge deployment on autonomous robots. You will design and implement core infrastructure components, evaluate ML platform trade-offs, and contribute robust pipelines while working with clearly defined API contracts and architecture.

This hands-on role provides production-grade software experience in Python and C++, with

Qualifikationen

  • Pursuing degree in Computer Science, Robotics, or related field.
  • Strong Python knowledge; backend experience a plus.
  • Solid understanding of APIs, data structures and testing.
  • Interest in ML systems or computer vision.
  • Structured work with clearly defined interfaces.
  • Curious about system design and rationale.

Aufgaben

  • Implement platform components based on predefined API contracts.
  • Contribute to services for dataset management, model storage, and evaluation pipelines.
  • Write clean, tested Python/C++ backend code.
  • Participate in architecture reviews and technical workshops.
  • Validate system behavior against interfaces and requirements.

Kenntnisse

Python
C++
Backend
APIs
Data structures
Testing
ML systems
Computer vision

Ausbildung

Pursuing CS/Robotics degree

Tools

Docker
REST APIs
Distributed systems
ONNX
TensorRT
PyTorch

Jobbeschreibung

ANYbotics in Zürich is offering a 6-month internship starting September 2026 to join the A-team, focusing on building the internal platform for computer vision models and edge deployment on autonomous robots. You will design and implement core infrastructure components, evaluate ML platform trade-offs, and contribute robust pipelines while working with clearly defined API contracts and architecture.

This hands-on role provides production-grade software experience in Python and C++, with

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