R&D Scientist – Geometry and Physics-Inspired Machine Learning
Location: Berlin
Full time (40h/week)
Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools for analyzing egocentric video and physiological data at scale.
The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in Computer Science, Computational Neuroscience, Mathematics, and Physics, is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising R&D avenues and take pride in seeing our results swiftly integrated into the latest products shipped to our customers.
To support our efforts, we are looking to grow our R&D team in Berlin with a full-time R&D Scientist who brings geometric, physical, or structural priors into machine learning systems. This is an on-site position (with up to two home-office days per week).
Pupil Labs offers a competitive salary, flexible work arrangements, a great team of coworkers, a young and dynamic company structure, and a culture of participation and feedback.
You are excited about joining an ambitious, international, diverse, interdisciplinary, young, enthusiastic, and talented team of researchers and software specialists? You have a growth mindset, thrive in fast-paced work environments, and enjoy working on hard problems? Then we are looking forward to hearing from you!
What you would do
Develop machine learning models that incorporate geometric, physical, or causal structure, moving beyond purely data-driven or black-box approaches.
Apply tools from differential geometry, variational calculus, mechanics, or physics-informed modeling to real-world problems in eye tracking and human behavior analysis.
Collaborate with researchers and engineers to integrate your models into real-world systems, including camera-based, inertial, and physiological sensors.
Explore simulation-based inference and structured generative models that respect known physical constraints.
Help guide the development of interpretable, generalizable models grounded in the structure of the problem domain.
Who you are
You hold a PhD in applied mathematics, physics, computer science, engineering, or a related field, with a focus on geometric deep learning, physics-informed ML, or simulation-based modeling.
You have a strong grasp of the mathematical structures underlying physical systems, and how these can be integrated into modern ML techniques.
You are proficient in Python, and experienced with PyTorch.
You are comfortable thinking across abstraction levels — from theory to implementation to deployment.
You are excited to collaborate across disciplines and bring a structured perspective to applied research challenges.
You are comfortable in written and spoken English.
Perks
A beautiful office in the heart of Berlin.
Up to two home-office days per week.
15 mobile-office days per year.
Continued learning and professional development (we will sponsor you to attend relevant scientific/developer conferences).
Flexible working hours.
Publishing of scientific articles.
6 weeks of holidays per year
Apply
Please submit your application here.
Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools for analyzing egocentric video and physiological data at scale.
The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in Computer Science, Computational Neuroscience, Mathematics, and Physics, is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising R&D avenues and take pride in seeing our results swiftly integrated into the latest products shipped to our customers.
To support our efforts, we are looking to grow our R&D team in Berlin with a full-time R&D Scientist who brings geometric, physical, or structural priors into machine learning systems. This is an on-site position (with up to two home-office days per week).
Pupil Labs offers a competitive salary, flexible work arrangements, a great team of coworkers, a young and dynamic company structure, and a culture of participation and feedback.
You are excited about joining an ambitious, international, diverse, interdisciplinary, young, enthusiastic, and talented team of researchers and software specialists? You have a growth mindset, thrive in fast-paced work environments, and enjoy working on hard problems? Then we are looking forward to hearing from you!
What you would do
Develop machine learning models that incorporate geometric, physical, or causal structure, moving beyond purely data-driven or black-box approaches.
Apply tools from differential geometry, variational calculus, mechanics, or physics-informed modeling to real-world problems in eye tracking and human behavior analysis.
Collaborate with researchers and engineers to integrate your models into real-world systems, including camera-based, inertial, and physiological sensors.
Explore simulation-based inference and structured generative models that respect known physical constraints.
Help guide the development of interpretable, generalizable models grounded in the structure of the problem domain.
Who you are
You hold a PhD in applied mathematics, physics, computer science, engineering, or a related field, with a focus on geometric deep learning, physics-informed ML, or simulation-based modeling.
You have a strong grasp of the mathematical structures underlying physical systems, and how these can be integrated into modern ML techniques.
You are proficient in Python, and experienced with PyTorch.
You are comfortable thinking across abstraction levels — from theory to implementation to deployment.
You are excited to collaborate across disciplines and bring a structured perspective to applied research challenges.
You are comfortable in written and spoken English.
Perks
A beautiful office in the heart of Berlin.
Up to two home-office days per week.
15 mobile-office days per year.
Continued learning and professional development (we will sponsor you to attend relevant scientific/developer conferences).
Flexible working hours.
Publishing of scientific articles.
6 weeks of holidays per year
Apply
Please submit your application here.
Vision being the dominant human sense, eye tracking constitutes a powerful approach for understanding the human mind! At Pupil Labs, our mission is to provide cutting-edge eye-tracking solutions, which are more robust, accurate, accessible, and user-friendly than ever before. Already today, our products empower thousands of users in academia and industry, clinical surgeons, elite athletes, astronauts on the International Space Station, and many more. Unlocking the full potential of eye-tracking technology relies on solving hard research problems, ranging from core gaze-estimation algorithms to developing cloud-based algorithmic tools for analyzing egocentric video and physiological data at scale.
The interdisciplinary R&D team at Pupil Labs, comprising members with backgrounds in Computer Science, Computational Neuroscience, Mathematics, and Physics, is tackling these challenges head-on! In close collaboration with other engineering teams, we identify promising R&D avenues and take pride in seeing our results swiftly integrated into the latest products shipped to our customers.
To support our efforts, we are looking to grow our R&D team in Berlin with a full-time R&D Scientist who brings geometric, physical, or structural priors into machine learning systems. This is an on-site position (with up to two home-office days per week).
Pupil Labs offers a competitive salary, flexible work arrangements, a great team of coworkers, a young and dynamic company structure, and a culture of participation and feedback.
You are excited about joining an ambitious, international, diverse, interdisciplinary, young, enthusiastic, and talented team of researchers and software specialists? You have a growth mindset, thrive in fast-paced work environments, and enjoy working on hard problems? Then we are looking forward to hearing from you!
What you would do
Develop machine learning models that incorporate geometric, physical, or causal structure, moving beyond purely data-driven or black-box approaches.
Apply tools from differential geometry, variational calculus, mechanics, or physics-informed modeling to real-world problems in eye tracking and human behavior analysis.
Collaborate with researchers and engineers to integrate your models into real-world systems, including camera-based, inertial, and physiological sensors.
Explore simulation-based inference and structured generative models that respect known physical constraints.
Help guide the development of interpretable, generalizable models grounded in the structure of the problem domain.
Who you are
You hold a PhD in applied mathematics, physics, computer science, engineering, or a related field, with a focus on geometric deep learning, physics-informed ML, or simulation-based modeling.
You have a strong grasp of the mathematical structures underlying physical systems, and how these can be integrated into modern ML techniques.
You are proficient in Python, and experienced with PyTorch.
You are comfortable thinking across abstraction levels — from theory to implementation to deployment.
You are excited to collaborate across disciplines and bring a structured perspective to applied research challenges.
You are comfortable in written and spoken English.
Perks
A beautiful office in the heart of Berlin.
Up to two home-office days per week.
15 mobile-office days per year.
Continued learning and professional development (we will sponsor you to attend relevant scientific/developer conferences).
Flexible working hours.
Publishing of scientific articles.
6 weeks of holidays per year
Apply
Please submit your application here.