AI Engineer, User Intelligence

Q Innovations


Job Location:

Stockholm - Sweden

Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Description

AI ENGINEER USER INTELLIGENCE

Stockholm On-Site Full-Time Immediate Start

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



Requirements

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

15 years of experience; research depth weighted equally with industry tenure



Benefits

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 to . 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.


Required Experience:

IC

DescriptionAI ENGINEER USER INTELLIGENCEStockholm On-Site Full-Time Immediate Start 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...

About Company

We are a technology company operating in stealth, built on a belief that the internet and the data people create within it should work for people — not the other way around. The problem is not information. The world has never had more. The problem is that people give away a lifetime o ... View more

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