AI/ML Engineering Intern - Behavioral Safety (m/f/d)

Synapticon; Schönaich; Vor Ort; EUR 11.160 - 16.740; Vollzeit

Benefits dieser Stelle

Flexible working hours

Company support for gym memberships

Birthday vouchers

Free drinks and coffee

Snacks and fruit for all employees

Breakfast every Monday

Global team-building events

International team with long-term prospects

Supportive colleagues

Modern office space

Zusammenfassung

Synapticon is looking for a motivated AI/ML Engineering Intern to join their Safety AI team in Schönaich, Germany. This internship offers a unique opportunity to apply machine learning to real-world challenges in humanoid robotics, focusing on semantic intent recognition and AI-based fall strategies.

The ideal candidate is an MSc student with strong skills in PyTorch and integration of ML inference in real-time contexts. The role involves prototyping, developing, and testing AI safety strategies.

Qualifikationen

• MSc student with a research mindset and rigorous evaluation skills.
• Strong foundation in mathematics related to machine learning.
• Experience integrating ML inference pipelines with real-time control.

Aufgaben

• Prototype multimodal foundation model integration for robot safety context.
• Develop and test AI fall strategy controllers.
• Implement ML model inference in the robot control loop.
• Benchmark behavioral safety classifiers for intent recognition.
• Build AI safety behavior evaluation frameworks.

Kenntnisse

PyTorch skills

Hands-on RL experience

Integration with ROS2

Foundation model fine-tuning

Mathematics (linear algebra, optimization, probability)

Ausbildung

Enrolled MSc student in Machine Learning, Computer Science, or Robotics

Jobbeschreibung

WHAT WE ARE LOOKING FOR

We're looking for a motivated AI/ML Engineering Intern (ideally 6 months, mandatory internship) to join our Safety AI team in Schönaich (close to Stuttgart), with a flexible start date. If you're excited about applying machine learning to genuinely open research questions in humanoid robotics — from semantic intent recognition to AI-based fall strategies — this is a rare opportunity to do research with a direct path to product.

HERE'S WHERE YOU MAKE AN IMPACT

• Prototype multimodal foundation model integration for robot safety context — exploring how large-scale models can give robots semantic awareness of their environment and the people in it
• Develop and test AI-based fall strategy controllers, working on one of the more genuinely open research questions in humanoid deployment
• Implement ML model inference in the robot control loop — bridging the gap between research models and the timing constraints of real-time robot software
• Benchmark behavioral safety classifiers for semantic intent recognition in simulation, building the evidence base for what these models can and can't reliably distinguish in deployment
• Build evaluation frameworks for AI safety behaviour aligned with ISO/IEC TR 5469 — contributing to a principled, documented approach to assessing AI in safety-relevant contexts

WHO YOU ARE

• Enrolled MSc student in Machine Learning, Computer Science, or Robotics — with a research mindset and the discipline to support it with rigorous, reproducible evaluation
• Strong PyTorch skills; hands-on RL experience using Stable Baselines3, Isaac Lab, or similar frameworks — you've trained policies and analysed why they fail, not just run examples
• You've integrated ML inference pipelines with ROS2 — or are confident you can make it work cleanly in a real-time control context
• Experience with foundation model fine-tuning is a strong plus — this work involves adapting large models for a specific purpose, not just deploying them off the shelf
• You're interested in safety-critical AI — not as a compliance checkbox, but as a genuinely hard technical and methodological problem
• Strong mathematical foundation across linear algebra, optimisation, and probability — you're comfortable with the theory behind what you implement

WHAT'S IN IT FOR YOU

• Flexible working hours when life takes unexpected turns
• Company support for gym memberships through Wellpass
• Birthday vouchers
• Drinks and coffee (free of charge, of course)
• Snacks and fruit for all employees, as well as breakfast every Monday
• Regular global team-building events such as boot camps, skiing, and summer BBQs
• An international team with long-term prospects
• Highly competent colleagues who are experts in their field and happy to support you in your learning and growth
• Modern office space
• Our company's WG (upon availability)