Q Innovations Sweden AB

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 interacts, 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. 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, 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.

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 * Design end-to-end machine learning architectures, including data pipelines, feature engineering, model training, real-time serving, and evaluation systems * Build scalable personalization and relevance systems that process high-volume, sequential behavioral data in real time to power context-aware content delivery at scale * Develop high-velocity model training pipelines capable of learning from large-scale heterogeneous datasets, enabling rapid experimentation while maintaining production-grade rigor and reliability * Design and operate low-latency model serving infrastructure that supports seamless version rollouts, traffic management, and feature transitions with zero user-visible disruption * Create comprehensive experimentation and evaluation platforms, combining offline metrics, online A/B testing, and integrated tooling to provide continuous, data-driven visibility into platform improvements * Establish ML engineering standards around code quality, reproducibility, monitoring, and incident response that will be inherited by the broader engineering team Minimum Qualifications * MSc in Machine Learning, Computer Science, Statistics, or a directly related quantitative field from KTH, Chalmers, ETH Zurich, EPFL, or an institution of equivalent standing * 3 or more years of industry experience designing and shipping production ML systems at scale; architectures you originated, not contributed to * Demonstrated experience working in or alongside early-stage, fast-moving technology companies; you understand what it means to build without a safety net * Deep expertise in at least two of: large-scale personalization, recommendation and ranking systems, sequential behavioral modelling, real-time ML serving, or privacy-preserving ML at the architecture level * Production software engineering discipline that extends well beyond model code; you design the systems beneath the ML layer, not only the models on top of it * Exceptional candidates with fewer years of industry experience will be considered where their research output, published work, or demonstrated systems constitute an equivalent body of evidence Preferred Qualifications PhD in Machine Learning, Computer Science, or a directly related field; given significant weight in our assessment Prior experience as a technical lead, staff engineer, or principal engineer at a high-growth technology company or research institution Background from a company known for world-class ML systems; Spotify, Klarna, Google, Meta, OpenAI, DeepMind or comparable Research publications or substantive independent technical work in relevant technical areas A track record of delivering complete, production-quality ML systems at a pace that clearly distinguishes you from peers 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, 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.

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 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 query understanding pipelines covering intent classification, named entity recognition, semantic parsing, and contextual query expansion across diverse and multilingual query distributions * Design and build dense retrieval infrastructure including bi-encoder and cross-encoder architectures that retrieve and rank results based on deep semantic understanding of user intent * Build re-ranking systems that refine candidate result sets to surface the most accurate and contextually relevant results at query time * Design and operate RAG pipelines that assemble accurate, contextually appropriate information from multiple retrieval sources and deliver it through a generative interface grounded in current data * Fine-tune pretrained language models on domain-specific data to enhance vocabulary coverage, entity understanding, and query pattern recognition where general-purpose models fall short * Build precision evaluation infrastructure including query-level relevance assessment, coverage analysis, and longitudinal quality tracking across the full distribution of real user queries Minimum Qualifications * MSc in Natural Language Processing, Information Retrieval, Computational Linguistics, or Computer Science * Production experience building semantic search or information retrieval systems that real users depend on * Architectural understanding of transformer models; not surface-level API familiarity but genuine comprehension of model behavior from first principles * Proficiency across the Hugging Face ecosystem; fine-tuning methodology, evaluation, and efficient production deployment Preferred Qualifications * PhD in NLP, Information Retrieval, or a directly related field; given significant weight in our assessment * Research publications in information retrieval, NLP, or related areas * Experience designing retrieval systems that account for rich contextual signals beyond the query alone * Multilingual NLP experience across European languages * 2–6 years of industry or research experience 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, LinkedIn profile, and a 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.