Development Models Simulations Intern

revel8

OUR MISSION We're on a mission to create 10 million human firewalls! At revel8, we redefine cybersecurity training with hyper-realistic simulations that reflect today's evolving attack landscape. Our innovative platform combines AI-driven multi-channel attacks with gamified, real-time learning to build resilience where it matters most: the people. YOUR MISSION As a Founder's Associate Intern, you are part of our Business Operations team, working closely with our Founders and our Chief of Staff. This is not a theoretical strategy role where you polish slide decks or debate long-term vision. It's a hands-on execution role where you turn strategic decisions into reality and get a 360-degree view of what it actually takes to build a company. IS IT YOU WE ARE LOOKING FOR? We're currently looking for Founder's Associate Interns across two focus areas: Finance and Marketing. * Focus Finance: You work across the full finance stack: you support the development and maintenance of our financial model, take ownership of our financial tracking and accounting, monitor runway and budget across departments, and contribute to investor communications by preparing materials, reports, and KPI dashboards that reflect our performance and vision. You'll see what it takes to build the financial backbone of a venture-backed cybersecurity startup from scratch. * Focus Marketing: You work across the full marketing stack: You support paid and organic campaigns across different channels and draft content for our socials (e.g. LinkedIn & Reddit), blog, and newsletter. You help keep our brand and design assets sharp and consistent (Figma/Canva), and own the end-to-end logistics of webinars, conferences, and field marketing events.You'll see what it takes to build a B2B cybersecurity marketing engine from scratch. Whichever you choose, you'll own real work from day one. Across both focus areas, you'll spot opportunities to improve workflows, introduce effective tools, and bring more structure to how we operate. Expect to be pulled into projects outside your lane on a regular basis, wherever the team needs an extra pair of hands. WHY REVEL8? You... * Are currently pursuing or have recently completed a degree in Business, Engineering, or a related field with a strong track record of academic excellence. * Are biased towards action and prioritize high-velocity execution, but know when precision is non-negotiable. * Are a "no task too small" operator: you understand that building a startup involves everything from high-level research to the nitty-gritty of daily operations. You're as comfortable fixing a broken internal process as you are analyzing market data. * Are a resilient problem-solver: you're open-minded and thrive in unfamiliar domains. When the path is ambiguous, you stay curious and keep pushing until you find a solution. * Are AI-native: AI tools are an essential part of your daily workflow to maximize speed and creativity. You pair this with solid proficiency in "classic" tools like Google Sheets, Slides, and Notion to structure and present your work clearly. * Are a fluent communicator: you speak fluent English (German is a plus), enabling seamless communication within our international team, with our clients, and other stakeholders. Bonus * (Finance) Previous exposure to financial modelling, accounting, controlling, or investor reporting. * (Marketing) Previous hands-on experience with paid social, content creation, video editing, or design tools like Figma or Canva. * A track record of side projects, student initiatives, or community work where you actually shipped something. Ideal Start Dates: * Finance Focus: 01.07.2026 * Marketing Focus: 01.08.2026 READY TO JOIN THE REVELUTION? Perfect, let's talk! Just submit your application, and we'll get back to you as soon as possible. In case you have any questions, feel free to reach out to Melina from our People & Culture Team. We're looking forward to receiving your application!

STARK

ABOUT US STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable and cost-effective. This provides our operators with a decisive edge in highly contested environments. We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today. ABOUT THE TEAM The Flight Science team is responsible for analysing, processing and interpreting data generated throughout the development and testing of our autonomous systems. By building reliable data infrastructure and scalable analytics workflows, the team enables engineers to make informed decisions that improve system performance, reliability and operational capability. Working closely with software, robotics and flight test engineers, the team transforms complex engineering data into actionable insights that drive product development YOUR MISSION As a Data Engineering Intern / Working Student, you will help build and maintain the data infrastructure that powers the Flight Science team's analytics and decision-making. You will develop reliable data pipelines, improve data quality and collaborate with engineers to ensure flight and operational data is accessible, accurate and scalable. RESPONSIBILITIES * Develop and maintain automated ETL/ELT pipelines to ingest, clean and structure raw flight test and simulation data. * Optimise data workflows to reduce processing latency and improve access to engineering analytics. * Implement data validation and monitoring processes to identify pipeline failures, anomalies and missing data. * Collaborate with Flight Science engineers to design scalable data models and database schemas. * Integrate new internal and external data sources, including weather and telemetry datasets. * Document pipeline architecture, data models and system dependencies to support maintainability and knowledge sharing. * Support the scaling and optimisation of data storage solutions as flight data volumes increase. QUALIFICATIONS * Currently pursuing a degree in Computer Science, Information Systems, Data Science or a related technical field, with at least three completed semesters. * Strong Python programming skills for data processing and scripting. * Solid understanding of SQL and relational databases. * Familiarity with ETL/ELT concepts and data pipeline development through university projects, internships or personal projects. * Experience using Git or other version control systems. * Strong English communication skills, both written and spoken. * Availability to work full-time for a six-month internship or part-time (15–20 hours per week) as a working student. NICE TO HAVE * Experience working with time-series or sensor data. * Familiarity with workflow orchestration tools such as Apache Airflow or Prefect. * Basic knowledge of cloud platforms (AWS, Azure or GCP) or Docker. * Experience with data visualisation tools such as Grafana, Tableau or Streamlit.

Terra Quantum

THE ROLE The Applied Machine Learning Engineer will be a member of Terra Quantum's AI Applied Research team. This team builds and delivers end-to-end machine learning solutions for industrial clients across time series forecasting, optimisation, computer vision, natural language processing, and generative AI. The Engineer will own the classical machine learning craftsmanship that makes those solutions work, from data exploration and feature engineering through to model selection, hyperparameter optimisation, training pipelines, evaluation, and client delivery. A subset of the models built by the team incorporate a quantum layer; the Engineer is expected to treat that layer as one architectural component of an otherwise classical pipeline, and to apply the full toolkit of classical ML methods (including tree-based methods, boosting, deep learning, and classical optimisation) to make hybrid solutions perform reliably on real industrial data. The Applied Machine Learning Engineer plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally. THE RESPONSIBILITIES The Applied Machine Learning Engineer should expect to work in one and supporting in the other areas of the following AI Applied Research Team activities. * Building and delivering industry machine learning solutions * Designing end-to-end ML pipelines for client problems in time series, routing and planning, GenAI, natural language processing, computer vision, and predictive modelling * Choosing the right classical method for the problem (gradient-boosted trees such as XGBoost or LightGBM, random forests, deep neural networks, kernel methods, classical optimisers) based on data characteristics, not framework preference * Treating the quantum layer (when present) as a constrained component of the model and using classical ML tradecraft (feature engineering, regularisation, training schedules, hyperparameter sweeps) to make the hybrid pipeline work * Classical machine learning craftsmanship in service of hybrid models * Doing the unsexy parts of an ML pipeline well: data cleaning, leakage protection, cross-validation design, baseline construction, statistical significance testing * Designing feature representations that align with the quantum component when one is present, including Fourier-spectrum features and other quantum-aware encodings that classical models can also consume * Profiling and improving training stability when gradients are noisy or non-standard, in cooperation with the quantum research team * Contributing to our internal ML libraries and SDK so that future client engagements can re-use what one engagement built * Supporting research and applied product development * Translating proposed quantum machine learning algorithms and ansätze from the research team into testable implementations within classical ML pipelines * Helping evaluate where and why a quantum layer adds measurable benefit on applied tasks, and, just as importantly, where it does not THE REQUIREMENTS The Applied Machine Learning Engineer is expected to have several qualifications depending on the area of activity. * Completed a Master's degree in computer science, applied mathematics, data science, statistics, engineering, physics, or equivalent subject * Hands-on experience with classical machine learning through coursework, an industrial internship, a research project, or a first junior role, and a clear interest in continuing in applied ML * Strong command of Python, the standard data science stack (NumPy, pandas, scikit-learn), and at least one deep learning framework (PyTorch or TensorFlow) * Comfort across the classical ML toolkit beyond deep learning, including tree-based methods (XGBoost, LightGBM, random forests), gradient boosting, and kernel methods, with good judgement about which method fits which problem * Experience designing rigorous experiments (cross-validation, baseline construction, statistical testing, hold-out evaluation) and reporting the results honestly with appropriate uncertainty * Software engineering fundamentals: version control with Git, testing, reproducible environments, configuration-driven experiments * Curiosity about quantum computing and a willingness to pick up the necessary quantum concepts on the job. Formal quantum education is not required, and experience with frameworks such as PennyLane, Qiskit or Cirq is a plus rather than a requirement * Familiarity with at least one applied ML vertical such as time series forecasting, NLP, computer vision, or industrial optimisation is a plus * Goal-oriented and analytical, with the ability to work independently and as part of an interdisciplinary team * Proficiency in written and spoken English * Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role. The Rewards  We are an international team of quantum technology experts and dedicated business creatives that are working to bring quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and continuous improvement. If you join the Terra Quantum team, you can expect:  * An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team * Gain knowledge of some of the most cutting-edge technology developments in science & engineering  * A chance to be part of one of Europe’s leading technology firms of the upcoming decades * Welcoming, friendly, and professional colleagues * A personal development plan with clear goals for advancement * A competitive salary  * Flexible working arrangements  * A diverse and supportive atmosphere, where innovation and initiative are encouraged   If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!    Company description  Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics, healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these developments are happening right now, and they are happening at Terra Quantum.  At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions. Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its Series A financing round with a $75m fundraise.  Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now.  Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a reality. Terra Quantum’s activities span all areas, markets, and industries globally.  * Our purpose is to pioneer quantum technologies to change the world for good, * Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for humankind to thrive in, and * Our mission is to unleash the power of quantum tech to deliver meaningful solutions today Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.