AI Engineering
Research Internship - United States
Location
San Francisco
,
United States
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 humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.
The Role:
If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.
You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship.
Requirements
Must-haves:
Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output
Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly
Strong working knowledge in:
Reinforcement learning
Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
Python and PyTorch, including training neural networks at scale
Knowledge in at least two of the following:
Diffusion models
Flow matching
Dexterous manipulation
Sim-to-real transfer and real-to-sim calibration
Whole-body control and loco-manipulation
Synthetic data generation for robot learning
Vision Language Model Fine-Tuning (SFT and RL-based)
Transformer-based 3D Scene Understanding
Benefits
Competitive compensation package
A front-row seat at one of the world’s most ambitious robotics companies
An energetic, collaborative team with a relentless bias for action
The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers

AI Engineering
Research Internship - United States
Location
San Francisco
,
United States
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 humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.
The Role:
If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.
You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship.
Requirements
Must-haves:
Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output
Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly
Strong working knowledge in:
Reinforcement learning
Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
Python and PyTorch, including training neural networks at scale
Knowledge in at least two of the following:
Diffusion models
Flow matching
Dexterous manipulation
Sim-to-real transfer and real-to-sim calibration
Whole-body control and loco-manipulation
Synthetic data generation for robot learning
Vision Language Model Fine-Tuning (SFT and RL-based)
Transformer-based 3D Scene Understanding
Benefits
Competitive compensation package
A front-row seat at one of the world’s most ambitious robotics companies
An energetic, collaborative team with a relentless bias for action
The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers

AI Engineering
Research Internship - United States
Location
San Francisco
,
United States
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 humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.
The Role:
If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.
You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship.
Requirements
Must-haves:
Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output
Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly
Strong working knowledge in:
Reinforcement learning
Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
Python and PyTorch, including training neural networks at scale
Knowledge in at least two of the following:
Diffusion models
Flow matching
Dexterous manipulation
Sim-to-real transfer and real-to-sim calibration
Whole-body control and loco-manipulation
Synthetic data generation for robot learning
Vision Language Model Fine-Tuning (SFT and RL-based)
Transformer-based 3D Scene Understanding
Benefits
Competitive compensation package
A front-row seat at one of the world’s most ambitious robotics companies
An energetic, collaborative team with a relentless bias for action
The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers
AI Engineering
Research Internship - United States
Location
San Francisco
,
United States
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 humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.
Fifty of the world's best robotics researchers are already building the future at Flexion's headquarters in Zurich. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do. Now we are building their counterpart team in the United States, in San Francisco.
The Role:
If you are among the most capable and ambitious early-career robotics researchers, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you.
You will join Flexion's US research team as an intern, take on research problems that matter most, and deploy real solutions on real hardware. You will work directly with a world-class team across two continents on challenges that have no published answers yet. This internship is designed to give exceptional graduate researchers the opportunity to do their highest-impact work in a fast-moving industrial research environment, with a clear path to a full-time Research Scientist role following the internship.
Requirements
Must-haves:
Ongoing PhD in Robotics, Machine Learning, or a closely related field, or a recently completed Master's degree with exceptional research output
Demonstrated experience deploying learning-based controllers on real robotic hardware, or strong research signal that you can do so quickly
Strong working knowledge in:
Reinforcement learning
Physics-based simulation (Isaac Gym/Lab, MuJoCo, or equivalent)
Python and PyTorch, including training neural networks at scale
Knowledge in at least two of the following:
Diffusion models
Flow matching
Dexterous manipulation
Sim-to-real transfer and real-to-sim calibration
Whole-body control and loco-manipulation
Synthetic data generation for robot learning
Vision Language Model Fine-Tuning (SFT and RL-based)
Transformer-based 3D Scene Understanding
Benefits
Competitive compensation package
A front-row seat at one of the world’s most ambitious robotics companies
An energetic, collaborative team with a relentless bias for action
The opportunity to build something no one has ever done in this field - alongside the world’s leading researchers
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