Student Machine Learning Engineer

Veo is at the forefront of AI-driven sports camera technology, revolutionizing the way sports teams capture matches and training sessions. Our cutting-edge, fully automated camera solution empowers teams to record their activities without needing a camera operator. We are committed to democratizing sports video analysis, making it accessible for teams at all levels—something that was once reserved for a select few. Every week, over 40,000 clubs in more than 90 countries leverage our technology to enhance their performance.What distinguishes us? Our people. We foster a diverse culture of innovative thinkers, creators, and problem-solvers dedicated to delivering exceptional products while enjoying the journey.The OpportunityAs a Student Machine Learning Engineer at Veo, you'll tackle exciting challenges and make tangible contributions to our AI-powered end-user products. You will join our AI team, consisting of 12 researchers and engineers, who oversee all phases of the machine learning lifecycle across various projects—from defining data annotation tasks to modeling, validation, and deployment. You will receive guidance and support from experienced teammates to help you succeed.We remain engaged with the latest research and consistently discuss new concepts and ideas from recent publications to evaluate their relevance to our tasks and product-specific challenges.We seek a motivated, high-achieving student worker with a strong academic background, hands-on experience with various machine learning projects, proficient coding skills, and a genuine passion for the field.

We are seeking an experienced Senior Machine Learning Engineer specializing in Speech Recognition (ASR) to join our innovative team at Corti. In this role, you will leverage your expertise in machine learning and natural language processing to enhance our speech recognition systems, ultimately improving our product offerings and user experiences.Your responsibilities will include developing and fine-tuning machine learning algorithms, collaborating with cross-functional teams, and contributing to cutting-edge research in the field of speech technology.

Join Veo, a global frontrunner in AI-powered sports camera technology! Our revolutionary, fully automated camera system empowers sports teams to effortlessly record matches and training sessions without the need for a camera operator. We are on a mission to democratize sports, providing video analysis capabilities to teams at every level—an advantage previously reserved for the elite. Each week, over 40,000 clubs across more than 90 countries capture their games with our technology. At Veo, our rapid growth means that no two days are the same—each day brings new challenges and exciting opportunities, both in our operational and back-office roles.However, what truly sets us apart is our exceptional team. We have attracted some of the brightest minds in the industry, driving our ability to innovate and create outstanding products while enjoying the journey.As a Machine Learning Engineer at Veo, you will tackle complex challenges and play a pivotal role in enhancing our AI-driven end-user products.You will become a key member of our AI team, consisting of 15 talented researchers and engineers dedicated to all facets of the machine learning lifecycle across various projects—from defining data annotation tasks to modeling, validation, and deployment. You will have the autonomy to steer the direction of your projects, while also receiving constructive feedback and collaborating with your teammates to foster improvement and success.We are committed to staying abreast of the latest research, engaging in discussions about contemporary concepts and ideas in recent publications, assessing their applicability to our tasks and product-specific challenges.We are in search of another ambitious, high-performing machine learning engineer or researcher, ranging from junior to senior levels, with demonstrated experience in real-world machine learning projects. Familiarity with computer vision is advantageous but not mandatory.

Join Corti as a Senior Machine Learning Engineer specializing in Large Language Models (LLMs) and Clinical Natural Language Processing (NLP). In this pivotal role, you will leverage your expertise to develop innovative machine learning solutions that enhance healthcare services. You will collaborate with a dynamic team of data scientists, engineers, and healthcare professionals to create algorithms that interpret medical data and improve patient outcomes.

Miro is an innovative online workspace utilized by over 100 million users to craft the next big ideas. We are currently in search of a Machine Learning Research Manager who will spearhead our team in shaping the intelligence behind the Intelligent Canvas. This role transcends the conventional scope of developing standard Generative AI or recommendation systems. You will oversee a team that operates at the dynamic intersection of Vision, Language, and Graph Theory, working with an unparalleled dataset in the industry: spatial, unstructured, and deeply human collaboration data. Your leadership will connect groundbreaking research (including LLMs, Diffusion Models, and GNNs) with tangible product outcomes, enabling teams to innovate, design, and create more efficiently.

About the Role Netcompany Banking Services is looking for a Student Assistant to support digital learning projects in Copenhagen. This position focuses on creating and rolling out digital learning tools that help employees build skills and stay informed. What You Will Do Assist with the design and implementation of digital learning solutions Work alongside experienced colleagues on projects that improve employee training and development Gain practical experience in digital learning within the banking sector Who We’re Looking For This role suits a student who is motivated to learn, interested in digital education, and ready to collaborate with a team of professionals.

Miro is seeking a talented Machine Learning Research Engineer to be the guiding force behind our Machine Learning division. In this role, you will function as an Individual Contributor, steering the architectural innovations that enhance our 'Intelligent Canvas'. Your role presents an extraordinary opportunity in the industry: you won’t merely be processing text; you will be designing models that comprehend spatial relationships, visual diagrams, and unstructured collaboration. Your work will involve researching, prototyping, and deploying innovative architectures that integrate Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to position Miro as the most intelligent collaboration platform on the planet.

OverviewAt Corti, we are dedicated to making medical expertise accessible to everyone, regardless of their location.Currently, half of the global population lacks access to quality healthcare. Even in advanced healthcare systems, outcomes can vary widely, and clinicians often face overwhelming workloads. The pace at which medical knowledge expands is outstripping our ability to keep up.Corti is at the forefront of closing this gap by building a cutting-edge AI platform that enhances access to medical expertise. Our solutions aim to reduce errors, reclaim valuable time for clinicians, and make healthcare more affordable and human-centric.We believe that quality healthcare is a dialogue, and reliable AI is built on a strong foundation. Join us in shaping both.Why Join Corti?Corti is revolutionizing the intelligence layer of global healthcare. We empower developers, product teams, and healthcare innovators with access to medical-grade AI, enabling faster, safer, and more compassionate care.Our AI models are meticulously trained on real-world data, specifically optimized for precision, safety, and regulatory compliance, making them ideal for healthcare and related industries.Using our modular APIs, teams can seamlessly integrate medical speech recognition, summarization, reasoning, and other functionalities into their healthcare products without starting from scratch.We support innovators who are redefining healthcare, from startups enhancing patient experiences to established enterprises modernizing critical systems. If you share our vision that AI tailored for medicine will shape the future of healthcare, we want you at Corti.The RoleWe are seeking an MLOps Engineer to ensure our machine learning models operate reliably and deliver value in production environments. This role involves monitoring, maintaining, and integrating models into products while facilitating their deployment.Your Responsibilities:Oversee the complete lifecycle of ML models and core infrastructure, from development and deployment to monitoring and continuous enhancement.Develop and uphold robust CI/CD pipelines for both software and ML workflows.Guarantee the reliability, scalability, observability, and security of production systems and ML infrastructure.Automate deployment, orchestration, and environment management using effective tools and practices.

About Our Team Miro is dedicated to enabling teams to innovate and bring their ideas to life. Our teams lead the charge in AI-driven advancements across the Miro platform by constructing solid technical foundations, creating user-friendly product features, and integrating intelligent capabilities that redefine user interaction with content on the canvas. Our work encompasses the development of structured widget functionalities that facilitate visualization and engagement with complex data, the engineering of AI platform infrastructure, and the crafting of smart features that anticipate user needs—each element is essential to Miro's growth and evolution. About the Role As an AI Engineer, you will design and implement AI-powered features that elevate the user experience in creating, transforming, and collaborating on the canvas. You will connect AI innovation with product delivery, ensuring the launch of engaging, safe, and dependable experiences that utilize state-of-the-art LLMs, all while upholding the performance and quality that users expect from Miro's collaborative environment. Your Responsibilities Design and implement AI-driven functionalities—including agents, intelligent assistants, context-aware predictions, and generative AI—using Python, leading LLMs, TypeScript, React, Canvas, and WebGL. Develop high-performing AI workflows that leverage LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques while ensuring reliability, scalability, and maintainability. Manage end-to-end AI projects from initial conception and prototyping to production code, working closely with product managers, designers, and fellow engineers. Experiment and refine AI capabilities within your domain, keeping pace with emerging AI tools, frameworks, and methodologies. Promote best practices in AI system development, including evaluations, LLMOps, CI/CD, observability, and ethical AI principles. Assess and enhance AI performance by establishing benchmarks for user engagement, model accuracy, latency, error rates, and drift. Write clean, well-tested, maintainable code, actively participating in code reviews and technical discussions across the team. Troubleshoot and resolve production issues, ensuring high availability and performance standards.

Are you an enthusiastic IT student eager to acquire practical experience in a dynamic international fintech setting? Do you enjoy tackling technical challenges and providing assistance to others? If this resonates with you, the Student Assistant role at Inpay is your ideal opportunity! Inpay, located in the vibrant center of Copenhagen, is an innovative fintech company transforming the financial landscape. We are on the lookout for a dedicated Student Assistant to become a part of our IT Operations team. You will collaborate with seasoned IT professionals, gain insights into cutting-edge cloud technologies, and contribute significantly to ensuring our operations run seamlessly — all while balancing your academic commitments.

About the Role LAKRIDS BY BÜLOW is searching for a Marketing Student Assistant to support our team in Copenhagen (Hvidovre). This position offers hands-on experience across both creative and operational marketing projects, all centered around our passion for liquorice and memorable brand experiences. What You Will Do Engage with our community on Instagram and Facebook, responding to comments and messages. Prepare and distribute sales kits to support new product launches. Coordinate sponsorship requests and manage the distribution of PR kits. Set up and monitor questionnaires for our LAKRIDS LOVERS taste panel. Maintain and organize brand assets in Frontify. Assist in creating marketing materials and internal presentations. Support the marketing department with various ad hoc tasks as needed. Who We’re Looking For This role calls for someone detail-oriented and organized, ready to contribute to a variety of marketing activities. The team values initiative and a collaborative spirit. Location This position is based in Copenhagen, Hvidovre, Hovedstaden, Denmark.

Join Syngenta Group as a Student Assistant in the Procurement department for the Nordics region. This is a remarkable opportunity for students looking to gain valuable experience in the field of procurement and supply chain management. You will be involved in supporting various procurement activities, assisting with data analysis, and collaborating with cross-functional teams to optimize purchasing processes.

Join Coface as a Marketing Student Assistant and embark on an exciting journey to enhance your professional skills in a dynamic environment. You will collaborate closely with our marketing team, contributing to various projects that drive our brand forward. This role provides an excellent opportunity to gain hands-on experience in marketing strategies, digital communications, and market research.

Join Netcompany as a Student Assistant and immerse yourself in a dynamic consulting environment. This role offers an exciting opportunity to collaborate with experienced professionals while contributing to impactful projects. Ideal candidates are proactive, eager to learn, and ready to tackle challenges in a fast-paced setting.

About the Role LAKRIDS BY BÜLOW is searching for a Marketing Student Assistant to join our team in Copenhagen (Hvidovre, Hovedstaden). This role supports our marketing department as we build brand experiences across multiple channels and markets. The position offers hands-on involvement in both operational and creative projects, with real impact on our brand's presence. What You Will Do Engage with our community on social media, especially Instagram and Facebook. Prepare and distribute sales kits for product launches. Manage sponsorship requests and coordinate the dispatch of PR kits. Set up and monitor questionnaires for the LAKRIDS LOVERS taste panel. Maintain and update brand content in Frontify. Contribute ideas and content for marketing materials and internal presentations. Handle various ad hoc tasks within the marketing team. Who We’re Looking For This position suits a student who is highly organized, detail-oriented, and eager to support a brand with a unique mission. Experience or interest in marketing, social media, or brand content management is helpful.

Are you driven by providing excellent service and support? Do you wish to enhance your skills in IT operations, communication, and service delivery? If so, seize the opportunity to build your experience alongside your studies as a Student Assistant at Netcompany's Service Desk.Job Responsibilities and TechnologiesAs a Student Assistant in the Netcompany Service Desk, you will engage in a part-time role that promotes both personal and professional growth. You will acquire solid skills in areas such as operations, technical support, and communication with both internal and external stakeholders. You will be part of a team that includes full-time employees and other student assistants, with rotating shifts. Your tasks will vary but will primarily involve monitoring and escalating cases.Your responsibilities will typically include:Monitoring our IT solutionsActing as the primary contact for customer inquiries, mainly via phoneResponsible for logging and escalating casesContributing to streamlining our processes and proceduresYour shifts will fall within the hours of 5:00 PM to 7:00 AM on weekdays, with the possibility of 24/7 shifts during weekends and holidays. Therefore, you should be prepared for night and weekend work. Shifts are organized according to a fixed schedule, so you will know in advance the days and times you are expected to work.As part of your onboarding and training, your initial shifts will be during the daytime to prepare you for responsibilities outside normal working hours.About YouWe are looking for a Student Assistant who:Is pursuing a higher education degree in ITHas a general knowledge of IT, preferably with an interest in Windows or LinuxIs motivated, curious, and independent, with a desire to develop and understand how an operations organization functionsIs comfortable working night shiftsContinue Your Development with UsAt Netcompany, we focus on your personal and professional development.We guide you through your growth and help you achieve your goals. You will be included in projects alongside your colleagues and have the opportunity to take on responsibilities from day one.We offer a strong collegial community where you will work closely with your team, supporting you in task resolution and your role development. The close relationship with your colleagues and leaders ensures well-being for each employee and provides you with concrete insights into the various career opportunities as you build your experience.Join an Inclusive CommunityAt Netcompany, we prioritize community. We actively promote an open and welcoming work culture based on collaboration and trust, where there is always an opportunity for...

Join Deloitte Legal as a Student Assistant in our Copenhagen office, where you will support our legal team in various tasks and gain invaluable experience in the legal sector. This part-time position is ideal for law students eager to apply their academic knowledge in a professional environment.

Role Overview Red Bull GmbH is looking for a Trade Marketing Student Assistant to join the team in Copenhagen. This role offers the chance to work closely with experienced marketers and gain practical experience in trade marketing focused on off-premise channels. What You Will Do Support ongoing marketing initiatives for off-premise locations Assist with market trend analysis and reporting Help strengthen brand visibility and presence in targeted channels Who We’re Looking For Currently enrolled as a student Motivated to learn about trade marketing in a real-world setting Interested in gaining hands-on experience with a global brand

Join Netcompany's dynamic Group Finance Processes & Tools team as a Student Assistant. You will gain hands-on experience in finance processes while working closely with a team of professionals. This role offers a unique opportunity to contribute to innovative finance solutions while developing your skills in a supportive environment.

About Novo Holdings Novo Holdings, based in Copenhagen, is recognized for its strong investment capacity and commitment to ESG principles. The company values integrity and provides a supportive environment for growth and learning. Role Overview: Student Junior Analyst - Strategy Office This student position offers hands-on experience within the Strategy Office, working alongside a small team with backgrounds in management consulting, economic research, and investments. The role is designed for those interested in investments and strategic thinking, and it supports both personal and professional development. Main Responsibilities Conduct detailed analyses to inform strategic decisions across Novo Holdings. Support investment teams in preparing annual strategy updates for the Novo Holdings Board, combining financial and strategic analysis. Participate in sector reviews that cover several investment areas. Team and Mentorship Work closely with three experienced professionals who provide ongoing feedback and mentorship. The position also offers access to the Novo Holdings student network, fostering connections and peer learning. Workload and Flexibility This role requires approximately 15-20 hours per week. The schedule is flexible to fit around academic commitments.