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Intuition MachinesIM

2025-2026 AI/ML Research Fellow

Intuition Machines specializes in deep learning and visual domain ML at scale, providing privacy-preserving AI/ML platforms and services like the hCaptcha security suite to protect hundreds of millions of users globally.

Intuition Machines

Employee count: 51-200

Germany only

Full details are available at: https://www.imachines.com/imi-ai-ml-fellowships-2025-2026-high-risk-research

12 places will be opened for the 2025-2026 term, with a duration of 6 or 12 months at the applicant's option.

The intent of the fellowship is to focus on high risk research: ambitious projects that may not produce results, but will have lasting impact if they work.

We believe that publication in AI/ML has become overly biased towards short-term and iterative results, despite major gaps in our understanding of how to build optimal models.

The intent of these fellowships is to give awardees uninterrupted time to focus on harder open problems, with adequate compute, talented peers, and weekly 1:1 mentorship from senior researchers but without chasing specific metrics.

You will be expected to spend about 80% of your time on your own research, and up to 20% of your time either assisting other fellows or participating in wider research programs at IMI. We focus largely on applied research and its applications to online security problems, but often publish and support frontier research aligned with our broader interests. Serving hundreds of millions of people gives us a unique perspective as to what works at scale.

Eligibility: previous fellows and research staff have come from disparate backgrounds, including early career researchers previously at MSR, FAIR, Mila, MPI, etc. and self taught mid career engineers transitioning into research. We do not discriminate on the basis of pedigree or age. If you have done interesting work, that is enough. You may reside anywhere in the world, excluding sanctioned jurisdictions. This will be a remote fellowship.

Deliverables: we do not have hard targets, but generally try to get 1-2 papers with code done in a year, targeting NeurIPS, ICML, ICLR, etc. At the end of your fellowship, if the threshold for publication at a conference or in a journal is unmet we will expect a final report, which may be published as a blog post.

Applying: send a brief bio / CV link via this page. Include 1) the topic you are interested in working on, 2) a few lines on any relevant prior work you've done, 3) your github / scholar / x links, 4) your desired start date, duration, and other obligations (if any) during that period, and 5) a brief analysis of one of the projects outlined below.

Each project intentionally includes some gaps or glosses. List the ones you see, and how you'd solve them. Alternatively, if you dislike the projects outlined under a particular topic, write up your own idea and why it is more promising, along with your estimate of time and compute required.

Deadline: Admitting fellows in two cohorts. Deadlines for consideration: Oct 1 25, Feb 1 26. 3 week decision period. Rolling thereafter.

Compensation: competitive location-adjusted stipend, conference and travel support for conferences with accepted papers.

Selection criteria: novelty and importance, clarity of approach, feasibility given time/compute, alignment with topics. Panel review and one interview.

Selection will be based solely on merit. IMI is an equal opportunity employer, and does not discriminate on the basis of age, disability, sex, orientation, race, religion or belief. We promote equality of opportunity for all, and welcome applications from anyone with talent, skills and potential.

About the job

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Job type

Full Time

Experience level

Entry-level

Location requirements

Hiring timezones

Germany +/- 0 hours

About Intuition Machines

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At Intuition Machines, we're dedicated to pushing the boundaries of artificial intelligence and machine learning to solve complex real-world problems. Since our inception in 2017, we've grown into a global team, with colleagues in over 38 countries, all focused on a singular mission: making AI accessible, private, and secure. Our journey began with foundational AI/ML research, and this spirit of innovation continues to drive us. We believe in the power of open science and regularly contribute to the academic community, publishing our work and supporting other research groups by providing access to our advanced AI/ML platforms.

Our core focus is on developing privacy-preserving AI/ML platforms that don't compromise on accuracy or usability. We're proud that our systems, including our flagship product hCaptcha, serve and protect hundreds of millions of people across the globe every day. hCaptcha is a testament to our commitment to security and user privacy, offering a robust alternative that safeguards online services from sophisticated threats while respecting user data. We work with some of the largest companies in the world, providing them with machine learning products and services at scale, with a particular emphasis on meta-learning and the visual domain. We operate in a fast-paced, collaborative environment, embracing rapid iteration and a strong commercial focus to ensure our scientific breakthroughs translate into real-world impact. We're always looking for passionate and talented individuals to join our mission as we continue to transform cybersecurity, user privacy, and machine learning online.

Employee benefits

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Flexible working hours

Provides flexible working hours.

Paid vacation

Offers paid time off for employees.

Flat organization

Flat organizational structure with direct interaction with customer teams.

Learning and development

Mentoring and support in learning advanced ML, computer vision, and cybersecurity methods.

View Intuition Machines's employee benefits
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Intuition Machines hiring 2025-2026 AI/ML Research Fellow • Remote (Work from Home) | Himalayas