Machine Learning Engineer (all genders)

Wemolo

This position sits close to the embedded world, but it isn't traditional microcontroller firmware work. You'll own the operating system foundation and platform layer of our IoT devices - building and evolving our next-generation embedded Linux image - and develop the Python application layer that runs on top of it, inside our dockerized main application. You'll work down at the OS and hardware boundary while shipping features up in the application layer. Typical areas include: * Designing and maintaining our Yocto-based Linux distribution for ARM devices with limited compute * Security on device, inter-process communication, networking, scheduling, observation * Over-the-air (OTA) updates for both the OS and applications * Integrating peripherals - watchdog, modem, AI accelerator - and improving their observability * Bridging the system layer and the application layer through Python and Bash The work spans from driver- and kernel-level integration in C/C++, to adapting our Linux distribution with Yocto to the underlying hardware layer, to debugging system-level failures such as memory leaks, up to writing the Python software that turns hardware capabilities into product features. You will be expected to pass a live coding interview for this role. WHAT TO EXPECT * Embedded Linux Platform: Design, build, and continuously evolve the next generation of our Yocto-based Linux distribution for ARM-powered IoT devices * Application Development: Develop Python-based software that brings hardware capabilities to life and improves the reliability and performance of our products * System Integration: Work across the full stack—from kernel and driver integration to application development—connecting hardware, operating system, and product features * Device Reliability: Build secure, observable, and resilient systems, including OTA updates, networking, process communication, scheduling, and device monitoring * Debugging & Troubleshooting: Analyze and resolve complex issues across the platform, including kernel, drivers, networking, memory management, and application software * Ownership: Take end-to-end responsibility for your solutions, proactively improve our platform, and help shape engineering best practices INSPIRE US BY * Embedded Linux Expertise: Several years of experience developing Embedded Linux systems and confidence working with Linux internals, GNU tools, and Bash * Engineering Mindset: Degree in Computer Science, Electrical Engineering, Physics, or equivalent practical experience * Yocto Experience: Proven experience building, customizing, and maintaining Linux images using Yocto * Systems Programming: Strong programming skills in at least one systems language such as C, C++, Rust, Go, or Java * Python Development: Experience developing Python applications or a strong motivation to make Python your primary development language * Low-Level Debugging: Hands-on experience with debugging tools such as GDB, tcpdump, Valgrind, UART, and JTAG, including troubleshooting memory leaks and system-level issues * Operating System Knowledge: Solid understanding of Linux internals, bootloaders, systemd, drivers, kernel concepts, networking, and Docker * Language Skills: Fluent English (C1) EXTRA POINTS FOR * Experience operating large-scale IoT fleets * Knowledge of industrial hardware, cameras, AI accelerators, modems, or network devices * Experience with computer vision, edge AI, or machine learning * Familiarity with MQTT and Protocol Buffers (ProtoBuf) WHAT WE OFFER * Flexibility & Responsibility: Your workday, your performance – Our hybrid model empowers you to focus from home, get fresh perspectives during workation, and connect in person during our Anchor Days (Tuesday to Thursday) * Tailored Mobility: Full speed ahead – Whether it’s sustainable bike leasing or a public transport subsidy, we keep you flexible and on the move * Measurable goals: Our agile methods allow you to directly measure your impact on our product and company success * Team Culture & Networking: Real connections – also beyond the day-to-day. Celebrate successes with us at legendary team events and OKR parties * Productive Environment: Brainfood deluxe – Whether it's portafilter coffee, Bella&Bona online cafeteria, fresh fruit or our muesli bar – your wellbeing fuels your performance * Health & Balance: Stay in balance with EGYM Wellpass or Urban Sports Club – access 1,000+ gyms and wellness spots across Germany * Top Equipment & Ergonomics: Mac or Windows, in the office or remote – we make sure you’re set up for efficiency and comfort * Dress Code? Your Code: What you do matters more than what you wear – dress in whatever makes you feel your best INNOVATION THROUGH DIVERSITY Regardless of your background, origin, gender identity, or individual circumstances, it's your personality that interests us. That's why we're committed to building a culture of collaboration and respect, where every team member has a voice, can grow, and feels valued with us. STILL HERE? Then we might be the perfect match! Ready to own (y)our growth? 🚀

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 combining advanced analytics, statistical modelling and engineering expertise, the team transforms complex flight and operational data into actionable insights that improve system performance, reliability and operational capability. Working closely with software, robotics and flight test engineers, the team supports data-driven decision making across the product development lifecycle. YOUR MISSION As a Data Science Intern / Working Student, you will analyse flight and operational data to generate insights that improve the performance of our autonomous systems. You will develop predictive models, perform statistical analysis and collaborate with engineers to transform complex sensor data into meaningful recommendations that support engineering decisions. RESPONSIBILITIES * Perform exploratory data analysis to identify patterns, trends and anomalies within flight test and operational data. * Develop, train and evaluate predictive models and statistical algorithms to support engineering and product development. * Create visualisations and reports that communicate technical findings clearly to engineering stakeholders. * Collaborate with Flight Science engineers to design experiments and validate hypotheses using real-world sensor data. * Develop data processing workflows to prepare and enrich datasets for modelling and analysis. * Document methodologies, experiments and analytical results to support knowledge sharing and reproducibility. * Support the evaluation of performance metrics for software-defined features and autonomous system capabilities. QUALIFICATIONS * Currently pursuing a degree in Data Science, Computer Science, Physics, Mathematics or a related technical field, with at least three completed semesters. * Strong Python programming skills for data analysis and machine learning. * Solid understanding of statistics and machine learning fundamentals. * Experience using SQL to query and manage relational databases. * Familiarity with data visualisation libraries such as Matplotlib or Plotly, or comparable BI tools. * 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 with deep learning frameworks such as PyTorch or TensorFlow. * Familiarity with time-series analysis, sensor data or signal processing. * Basic knowledge of cloud platforms (AWS, Azure or GCP) or Docker. * Experience translating complex analytical findings into practical recommendations for technical or business stakeholders.

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.