Senior AI Engineer hos Q Innovations Sweden i Stockholm

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

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.

Application

To apply, send your CV/resume, LinkedIn profile, and a brief note on how and why you would like to contribute to our mission. Upon initial acceptance, an online interview will follow shortly.

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.