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Msc Intern Jobs (NOW HIRING)

$12.75 - $17/hr

WHAT WE ARE LOOKING FOR We're looking for a motivated AI/ML Engineering Intern (ideally 6 months ... Enrolled MSc student in Machine Learning, Computer Science, or Robotics -- with a research mindset ...

$16.50 - $21.50/hr

MSA Engineering Intern Activities: * Operation of advanced manufacturing equipment * Setup and ... MSC) on campus and other ARL buildings surrounding campus. BACKGROUND CHECKS/CLEARANCES Employment ...

MSC Behavioral Health Clinician

Gridley, CA · On-site

$66K - $91K/yr

Must possess an intern number for licensure as either a Licensed Clinical Social Worker, Licensed Marriage Family Therapist or a Licensed Professional Clinical Counselor in the State of California

$16.50 - $21.50/hr

This position will be mostly located at the 230 Building at Innovation Park (along the Red Link CATA bus route) with some work being performed at the Millennium Science Complex (MSC) on campus and ...

$16.50 - $21.50/hr

This position will be mostly located at the 230 Building at Innovation Park (along the campus shuttle via Beaver Ave) with some work being performed at the Millennium Science Complex (MSC) on campus ...

Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics * Passion for next-generation, scalable autonomy and robotics Don't meet every single requirement? If you're ...

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Msc Intern information

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How much do msc intern jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for msc intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Msc jobs?

The most popular types of Msc jobs are:

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

On-site

$12.75 - $17/hr

Other

Posted 25 days ago


Key responsibilities

  • Prototype multimodal foundation model integration for robot safety context.

  • Develop and test AI-based fall strategy controllers.

  • Implement ML model inference in the robot control loop.


Job description

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)

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