Who We Are
We are a well-funded, early-stage technology company on a mission to fundamentally redefine the way the world searches, discovers, and transacts, built on a philosophy that puts the user first at every step.
The user is not simply a means of transaction. They are a valued participant whose data works for them, not against them, enriching their world and their own experience within it, with them retaining full control.
Our mission is underpinned by proprietary, patent-pending technology built on a novel engine and system.
The Problem You Will Be Solving
The internet was built to inform the many, not to serve the individual. Platforms optimize for engagement, extraction, and consumption at global scale. AI has made this model even more efficient, with the user still largely remaining the input, not the full beneficiary.
The problem is not information. The world has never had more. The problem is that people give away a lifetime of data without receiving the personalized experience it should enable.
People should not have to search. They should simply find.
Who You Are
Highly talented and motivated to build products with people, for people
You thrive in zero-to-one environments and find genuine satisfaction in creating from scratch
A fast-paced thinker with a relentless desire to learn, improve, and raise the standard around you
Able to inspire, elevate, and collaborate; you make the people around you better
A great communicator; you express complex ideas with clarity, precision, and confidence across all levels of the organization
Able to transform ideas into working systems and technical milestones with light speed and precision
Highly ambitious and action-driven; you thrive under pressure and find genuine energy in working at the edge of what is considered possible
Capable of designing and building production-grade systems in a fourth of the time most experienced and “sane” professionals would consider possible
What You Will Do
Build large-scale graph systems that model relationships and behavioral patterns from user interaction signals
Design and operate dynamic graph analytics pipelines for pattern detection and structural analysis
Build graph neural network architectures to learn rich representations of users and their connections
Design efficient graph maintenance and serving pipelines for updates, change detection, and low-latency access
Build privacy-preserving graph infrastructure that supports aggregate insights while protecting individual data
Apply graph-based techniques to enterprise scenarios involving organizational and relational data
Minimum Qualifications
MSc in Computer Science, Mathematics, Physics, or Network Science from KTH, Chalmers, Uppsala, or an institution of equivalent standing
Genuine theoretical depth in graph machine learning; GNNs, spectral methods, graph embeddings, and community detection with clear understanding of assumptions and failure modes
Experience implementing graph ML methods in PyTorch Geometric, DGL, or equivalent frameworks
Demonstrated capability to take a sound research approach and engineer it into a system that operates reliably on real data at production scale
Exceptional candidates from industry backgrounds who have built graph-based systems in production will be considered alongside research candidates
Preferred Qualifications
PhD in graph machine learning, network science, complex systems, or a directly related field; given significant weight in our assessment
Research publications in graph ML, dynamic networks, community detection, or spatiotemporal modeling
Understanding of privacy-preserving techniques applied to behavioral data at scale
1–5 years of experience; research depth weighted equally with industry tenure
What We Offer
Expect the most talented, rigorous, and driven colleagues you have worked with; people who lift each other up and hold each other to the highest standard. This company is driven by ideas and innovation, regardless of age, position, or background. The best ideas must win and the people behind them recognized and rewarded.
A home for exceptional people and geniuses within their domain; those who have always known what they are capable of and have been waiting for the environment to prove it to the world, whilst first being seen and supported by their coworkers.
Compensation includes an attractive salary and meaningful equity ownership for an early-stage startup.
Equal Opportunity
We are an equal opportunity employer committed to building an inclusive, high-performance culture where everyone can do their best work and reach their full potential. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, or any other characteristic protected by applicable law.
Application
To apply, send your CV/resume with direct references, GitHub profile, LinkedIn profile, and a brief note on how and why you would like to contribute to our mission. Upon initial acceptance, an in-person interview will follow shortly in Stockholm, Sweden.
Please note that all applications and interviews are conducted in English. Fluency in written and spoken English is a requirement for all roles.
All applications are treated with strict confidentiality.
Skills Required
- MSc in Computer Science, Mathematics, Physics, or Network Science (from KTH, Chalmers, Uppsala, or equivalent)
- Genuine theoretical depth in graph machine learning (GNNs, spectral methods, graph embeddings, community detection)
- Experience implementing graph ML methods in PyTorch Geometric, DGL, or equivalent frameworks
- Demonstrated ability to engineer research into reliable production systems operating on real data at scale
- Fluency in written and spoken English
- PhD in graph machine learning, network science, complex systems, or directly related field
- Research publications in graph ML, dynamic networks, community detection, or spatiotemporal modeling
- Understanding of privacy-preserving techniques applied to behavioral data at scale
- 1-5 years of experience (research depth weighted equally with industry tenure)
What We Do
Q Innovations is a Stockholm-based, well-funded early-stage technology company developing proprietary, patent-pending technology to redefine how people search, discover, and transact. Its user-first approach treats people as active participants, allowing their data to work for them while retaining control. The company is building AI-driven personalization and a novel engine and system to improve digital discovery and transaction experiences.
