AI Engineering
Internship - 3D Vision and Generative AI
Type
Location
Zürich
,
Switzerland
Department
AI Engineering
Description
About Flexion:
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.
The Role:
We’re looking for a talented MS or PhD intern to join our team in Zürich and push the boundaries of how humanoid robots perceive and interact with the world. You will work at the intersection of 3D scene reconstruction and generative modeling to help us build photorealistic, interactable 3D environments. This is a hands-on role where you might move quickly from research concepts to functional implementations, iterate on 3D representations, and experiment with generative models for spatial data. If you enjoy solving open-ended problems in a fast-moving environment, this is a unique opportunity to learn from our world-class team of engineers and scientists, and contribute to our foundational software development.
Requirements
Required skills:
Currently pursuing a Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
Experience with a range of 3D representations and reconstruction techniques, including traditional geometry (meshes, point clouds), radiance fields (e.g., NeRFs, 3DGS), and modern geometric foundation models.
Familiarity with generative modeling and its application to 3D or spatial data.
Excellent Python and PyTorch skills; comfortable writing clean, modular code for rapid experimentation.
Strong, proven analytical thinking and problem-solving skills.
Ability to navigate and implement state-of-the-art methods from recent literature.
Additionally, the following skills are a plus but not required:
Experience in robotics.
Experience with simulation environments.
Benefits
Competitive compensation
A front-row seat at one of Europe’s most ambitious robotics companies
An energetic, collaborative team with a bias for action
AI Engineering
Internship - 3D Vision and Generative AI
Type
Location
Zürich
,
Switzerland
Department
AI Engineering
Description
About Flexion:
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.
The Role:
We’re looking for a talented MS or PhD intern to join our team in Zürich and push the boundaries of how humanoid robots perceive and interact with the world. You will work at the intersection of 3D scene reconstruction and generative modeling to help us build photorealistic, interactable 3D environments. This is a hands-on role where you might move quickly from research concepts to functional implementations, iterate on 3D representations, and experiment with generative models for spatial data. If you enjoy solving open-ended problems in a fast-moving environment, this is a unique opportunity to learn from our world-class team of engineers and scientists, and contribute to our foundational software development.
Requirements
Required skills:
Currently pursuing a Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
Experience with a range of 3D representations and reconstruction techniques, including traditional geometry (meshes, point clouds), radiance fields (e.g., NeRFs, 3DGS), and modern geometric foundation models.
Familiarity with generative modeling and its application to 3D or spatial data.
Excellent Python and PyTorch skills; comfortable writing clean, modular code for rapid experimentation.
Strong, proven analytical thinking and problem-solving skills.
Ability to navigate and implement state-of-the-art methods from recent literature.
Additionally, the following skills are a plus but not required:
Experience in robotics.
Experience with simulation environments.
Benefits
Competitive compensation
A front-row seat at one of Europe’s most ambitious robotics companies
An energetic, collaborative team with a bias for action
AI Engineering
Internship - 3D Vision and Generative AI
Type
Location
Zürich
,
Switzerland
Department
AI Engineering
Description
About Flexion:
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.
The Role:
We’re looking for a talented MS or PhD intern to join our team in Zürich and push the boundaries of how humanoid robots perceive and interact with the world. You will work at the intersection of 3D scene reconstruction and generative modeling to help us build photorealistic, interactable 3D environments. This is a hands-on role where you might move quickly from research concepts to functional implementations, iterate on 3D representations, and experiment with generative models for spatial data. If you enjoy solving open-ended problems in a fast-moving environment, this is a unique opportunity to learn from our world-class team of engineers and scientists, and contribute to our foundational software development.
Requirements
Required skills:
Currently pursuing a Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
Experience with a range of 3D representations and reconstruction techniques, including traditional geometry (meshes, point clouds), radiance fields (e.g., NeRFs, 3DGS), and modern geometric foundation models.
Familiarity with generative modeling and its application to 3D or spatial data.
Excellent Python and PyTorch skills; comfortable writing clean, modular code for rapid experimentation.
Strong, proven analytical thinking and problem-solving skills.
Ability to navigate and implement state-of-the-art methods from recent literature.
Additionally, the following skills are a plus but not required:
Experience in robotics.
Experience with simulation environments.
Benefits
Competitive compensation
A front-row seat at one of Europe’s most ambitious robotics companies
An energetic, collaborative team with a bias for action
AI Engineering
Internship - 3D Vision and Generative AI
Type
Location
Zürich
,
Switzerland
Department
AI Engineering
Description
About Flexion:
At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.
The Role:
We’re looking for a talented MS or PhD intern to join our team in Zürich and push the boundaries of how humanoid robots perceive and interact with the world. You will work at the intersection of 3D scene reconstruction and generative modeling to help us build photorealistic, interactable 3D environments. This is a hands-on role where you might move quickly from research concepts to functional implementations, iterate on 3D representations, and experiment with generative models for spatial data. If you enjoy solving open-ended problems in a fast-moving environment, this is a unique opportunity to learn from our world-class team of engineers and scientists, and contribute to our foundational software development.
Requirements
Required skills:
Currently pursuing a Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
Experience with a range of 3D representations and reconstruction techniques, including traditional geometry (meshes, point clouds), radiance fields (e.g., NeRFs, 3DGS), and modern geometric foundation models.
Familiarity with generative modeling and its application to 3D or spatial data.
Excellent Python and PyTorch skills; comfortable writing clean, modular code for rapid experimentation.
Strong, proven analytical thinking and problem-solving skills.
Ability to navigate and implement state-of-the-art methods from recent literature.
Additionally, the following skills are a plus but not required:
Experience in robotics.
Experience with simulation environments.
Benefits
Competitive compensation
A front-row seat at one of Europe’s most ambitious robotics companies
An energetic, collaborative team with a bias for action
Affolternstrasse 42
8050 Zurich, Switzerland
Shape the Future
Whether you're interested in our product, partnerships, or joining our team, we'd love to hear from you
© 2025 Flexion Robotics AG
Shape the Future
Whether you're interested in our product, partnerships, or joining our team, we'd love to hear from you
© 2025 Flexion Robotics AG
Shape the Future
Whether you're interested in our product, partnerships, or joining our team, we'd love to hear from you
© 2025 Flexion Robotics AG
Shape the Future
Whether you're interested in our product, partnerships, or joining our team, we'd love to hear from you
© 2025 Flexion Robotics AG