Front-Row Robotics Intern: Shape Humanoid AI

Flexion Robotics; Zürich; Vor Ort; CHF 20.000 - 27.000; Teilzeit

Benefits dieser Stelle

Competitive compensation

Front-row seat

Zusammenfassung

Flexion Robotics in Zürich is seeking a talented MS or PhD intern to advance humanoid robotics perception and decision-making. You will work on agentic systems built on vision-language models, synthetic data pipelines, and deployed systems in real-world and simulation environments.

The role offers the opportunity to learn from a world-class team and contribute to foundational software development in a fast-moving startup setting.

Qualifikationen

• Pursuing a Master's or PhD in Computer Science, Robotics, Machine Learning, or related field.
• Experience with large language models / vision language models, agentic patterns, model deployment and inference.
• Familiarity with synthetic data generation and automatic annotation at scale.
• Excellent Python skills; write clean, modular code for rapid experimentation.
• Strong analytical thinking and problem-solving abilities.
• Ability to implement state-of-the-art methods from recent literature.

Aufgaben

• Develop agentic systems built on vision-language models for high-level perception and decision making in humanoid robots.
• Work on synthetic data generation pipelines and deployed systems in real-world and simulation environments.
• Contribute to foundational software development in a fast-moving, collaborative team.

Kenntnisse

Vision-Language Models

LLMs

Agentic patterns

Model deployment

Python

Analytical thinking

State-of-the-art methods

Robotics

Ausbildung

Master's or PhD in CS/Robotics/ML

Tools

vLLM

SGLang

Jobbeschreibung

Flexion Robotics in Zürich is seeking a talented MS or PhD intern to advance humanoid robotics perception and decision-making. You will work on agentic systems built on vision-language models, synthetic data pipelines, and deployed systems in real-world and simulation environments.

The role offers the opportunity to learn from a world-class team and contribute to foundational software development in a fast-moving startup setting.