Internship R&D

Sereact is hiring an Internship R&D. Level rates it ; you can apply on Sereact.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and computer vision.
Level classifies it as an internship.
Level lists 42 other open roles at Sereact.

AI in this role

PyTorchTensorFlow

computer-vision

Who We Are:

We build the intelligence that lets robots sense, reason, and act in the real world—moving beyond the lab and into everyday industrial settings like warehouses and factories. Our technology closes the automation gaps that traditional systems can’t solve. We are on a mission to redefine how physical work gets done, and we’re looking for curious, bold thinkers to help shape the future of robotics with us.

Overview:

We are seeking a highly motivated Research Intern to contribute to our work on task decomposition and multimodal fusion for imitation learning in robotic manipulation. This internship is ideal for students or early-stage researchers passionate about applying machine learning, computer vision, and robotics to real-world industrial automation challenges.

Your Responsibilities:

Develop and evaluate task decomposition methods for complex robotic manipulation tasks.
Investigate multimodal sensor fusion (e.g., vision, force, tactile) techniques to improve policy learning.
Implement and benchmark imitation learning pipelines using both simulated and real-world robotic setups.
Collaborate with our engineering team to transfer research outcomes to prototype systems.
Document and present findings to both technical and non-technical stakeholders.

Qualifications:

Must Have:

Enrolled in a Master’s or PhD program in Robotics, Machine Learning, Computer Vision, or a related field with a minimum GPA of 1.7 (German scale).
OR GitHub repository with at least 5 stars

Other Requirements:

Familiarity with reinforcement learning, imitation learning, or behavior cloning methods.
Hands-on experience with robotic platforms or simulation environments (e.g., PyBullet, Isaac Gym).
Strong programming skills in Python; familiarity with PyTorch or TensorFlow is a plus.
Excellent problem-solving skills and the ability to work independently.

What We Offer:

Flexible working hours
Option to work from home when needed
A motivated team and an open corporate culture

How we rate this

Internship R&D at Sereact rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Internship R&D is an open job at Sereact.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Stuttgart Schockenriedstr. 17.
The job was posted on March 10, 2026.
Seniority: intern.
Applications are handled by Sereact. Apply on Sereact

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionPyTorchTensorFlow

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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