You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity reviewing state-of-the-art methods and relevant literature crafting novel approaches implementing them as code prototypes planning and running large-scale experiments across multi-node multi-GPU systems writing a paper and seeing it through to submission. Topics of interest include but are not limited to frontier models and the interface of AI and scienceWe are a team of best-in-the-world research scientists and engineers with deep experience in computer vision machine learning robotics computer graphics and related areas. We work on exciting new technologies that bring joy to millions of our daily work the team stays innovative productive and fun by sharing some key values: - Passion for the mission: Were here to make something extraordinary. We seek whatever work is right and strive for the best possible results. - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You cant grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
- You are working towards a doctoral degree in computer science engineering data science applied mathematics or equivalent.
- 6 months dedication is preferred and starting no later than March 2026
- Proven research expertise in machine learning.
- Publication record in relevant conferences (e.g. NeurIPS ICLR ICML COLM etc).
- Solid software engineering skills in complex multi-language systems. Fluency in Python.
- Expertise in ML algorithms and top practices for working with deep learning systems
- Proficiency with ML modeling frameworks (PyTorch Tensorflow etc.)
- Strong overall software development approach. You deliver clean well-tested code.
Required Experience:
Intern
You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Ide...
You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity reviewing state-of-the-art methods and relevant literature crafting novel approaches implementing them as code prototypes planning and running large-scale experiments across multi-node multi-GPU systems writing a paper and seeing it through to submission. Topics of interest include but are not limited to frontier models and the interface of AI and scienceWe are a team of best-in-the-world research scientists and engineers with deep experience in computer vision machine learning robotics computer graphics and related areas. We work on exciting new technologies that bring joy to millions of our daily work the team stays innovative productive and fun by sharing some key values: - Passion for the mission: Were here to make something extraordinary. We seek whatever work is right and strive for the best possible results. - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You cant grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
- You are working towards a doctoral degree in computer science engineering data science applied mathematics or equivalent.
- 6 months dedication is preferred and starting no later than March 2026
- Proven research expertise in machine learning.
- Publication record in relevant conferences (e.g. NeurIPS ICLR ICML COLM etc).
- Solid software engineering skills in complex multi-language systems. Fluency in Python.
- Expertise in ML algorithms and top practices for working with deep learning systems
- Proficiency with ML modeling frameworks (PyTorch Tensorflow etc.)
- Strong overall software development approach. You deliver clean well-tested code.
Required Experience:
Intern
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