Data Scientist/Engineer - Early Career

QphoX

QphoX is looking for a Quantum Application Engineer to help push our microwave-to-optics conversion technology and its application to quantum computing to the next level. In this role, you will be part of a team focussing on the development of optical interconnects for control, readout and networking of quantum processors. As a Quantum Application Engineer, you will define and articulate the performance requirements of our products, develop experiments to quantify these requirements and demonstrate the performance of our technology both internally as well as with external partners and customers. You will be involved in: * Research and development of microwave-to-optics transducer technology * Development of optical signal delivery systems for high fidelity qubit control * Planning and executing experiments to demonstrate the performance and practicality of our products, including joint demonstrations with external partners, collaborators, and customers * Analysing, summarising, and presenting experimental results through reports, presentations, and technical discussions * Collaborating closely within a diverse, multidisciplinary team of scientists and engineers Skills and knowledge you will bring to QphoX: * A masters (WO) in (applied) physics, photonics, or a related subject * 2-5 years of industry or applied research experience in one or more of the following: superconducting circuits, solid-state qubits, photonics, or a related subject * Proficiency in Python for instrumentation, data acquisition and data analysis * The ability to work collaboratively with inter-disciplinary teams * An organised and rigorous working style Our Ideal Candidate: Our ideal candidate is a passionate, hands-on experimentalist who enjoys translating technology from the lab into real-world applications. They are eager to contribute across the full journey from experiment to product — from early-stage technical development through deployment with customers, from drafting concepts to presenting results. Teamwork is an essential value of our company, hence fitting into the team is crucial. Finally, they would have to feel positive working in fast-paced learning environment. We strongly encourage people of any underrepresented group to apply as we are committed to diversity and work to build an inclusive environment where all people, regardless of gender, race, religion, or background, can thrive. Benefits and other perks of working with us: * Competitive salary * Employment stock ownership plan * End-year performance-based bonus * 25 days of holidays on a full-time basis * Career growth opportunities * Opportunities to network and connect About us: At QphoX we strive to be an inclusive place where a diverse mix of talented people want to come, to learn, to live their passion and do their best work. We are dedicated to promoting equality, creating a safe environment for everyone, and believe deeply in diversity of race, gender, sexual orientation, religion, ethnicity, national origin, age, socioeconomic background and all the other fascinating characteristics that make us different. We truly think diversity is a strength and working in a diverse environment, and being exposed to a variety of perspectives makes us stronger as a team and better human beings.

Mentimeter

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds. We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders. You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others). KEY RESPONSIBILITIES: * Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse. * Empower the organization to use and interpret data. * Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used. * Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling  * Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling. * Develop, own and maintain data modeling standards and the data development experience * Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance. * Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation WE BELIEVE YOU HAVE: * Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear). * Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave). * Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use. * Strong business acumen with an understanding of sales, marketing, and product analytics. * Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts. * Experience with BI-tools and development of BI features  * Knowledge of software collaboration using git. * Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills. * Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments. IT IS BENEFICIAL IF YOU HAVE: * Hands-on experience with dbt (or similar) * Experience with a semantic or metrics layer * Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work. * Professional experience working in an agile environment NOT REQUIRED: * Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities). * A cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Culture interview 4. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation: At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 50,000–SEK 68,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm.  What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

H

About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI. Key Responsibilities: * Develop and train advanced LLMs and VLMs, including multimodal architectures * Research and implement training methods for enhanced capabilities like instruction following and tool use * Design and optimize data pipelines and training systems for large-scale distributed training * Collaborate with cross-functional teams to integrate models into agentic AI systems * Evaluate model performance and communicate findings to stakeholders * Stay current with advancements in LLMs, VLMs, and related fields Requirements: * Technical skills: * Strong programming skills (Python, Git) * Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow) * Experience with large-scale distributed training of LLMs and VLMs * Hands-on experience with LLM training, alignment, and reinforcement learning * Knowledge of multimodal architectures and applications * Research skills: * Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV) * Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) * Soft skills: * Excellent communication and presentation skills * Strong collaboration and teamwork skills * Passion for AI and problem-solving * Bonuses: * Industry experience * Experience in LLM training with RL * Experience with data processing techniques Location: * Paris or London. * This role is hybrid, and you are expected to be in the office 3 days a week on average. * Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks). What We Offer: * Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups * Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment * Enjoy a competitive salary * Unlock opportunities for professional growth, continuous learning, and career development If you want to change the status quo in AI, join us.