Explore the World of Application Development at Netcetera

Join Esri as a Research and Development Intern in Zurich, where you will have the opportunity to contribute to innovative projects that shape the future of geographic information systems. Work alongside expert teams and gain hands-on experience in cutting-edge technologies. This internship will provide you with invaluable insights into the R&D processes at a leading software company.

Duration: Minimum 6 months; ideally 9–12 months, depending on the candidate’s experience.At Scandit, we empower individuals with cutting-edge technology. Whether it’s accelerating delivery routes for drivers, ensuring patients receive the correct medications, or streamlining retail operations, our solutions transform workflows and yield actionable insights across diverse sectors. Join us as we innovate, expand, and elevate Scandit to new heights.About the InternshipThis research-oriented internship is designed to propel advancements in machine learning techniques for intricate visual understanding tasks. You will engage in projects that focus on deep learning frameworks for image-to-sequence modeling, including Transformers and attention mechanisms, to tackle complex and highly structured computer vision challenges. Your contributions will play a crucial role in our long-term research initiatives targeting enhanced performance, robustness, and generalization in large-scale visual applications.Your ResponsibilitiesCollaborating closely with seasoned ML researchers and engineers, you will be at the forefront of groundbreaking research that intersects computer vision and sequence modeling. Your key responsibilities will include:Designing and testing innovative ML architectures for structured visual data.Assessing various modeling paradigms, including encoder-decoder frameworks and hybrid Transformer models.Exploring methods to enhance robustness, generalization, and multi-view reasoning capabilities.Conducting systematic experiments, ablation studies, and error analyses to substantiate your research hypotheses.This internship offers a unique opportunity for original model development, extensive experimentation, and impactful scholarly work. You will help drive technological innovation with potential real-world implications for millions of users, making this position ideal for master’s students, PhD candidates, or those aspiring for research careers in academia or industry.Your ProfileYou are a Master's or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, with a strong emphasis on research. You possess a solid understanding of machine learning theory, neural networks, and computer vision.Key Skills:Expertise in Python and deep learning frameworks such as PyTorch.Hands-on experience in designing, training, and evaluating neural networks, including CNNs and Transformer architectures.Exceptional analytical and problem-solving skills, with the ability to tackle complex challenges.

Gravis Robotics offers a Software Engineer Internship in Zurich, designed for those interested in hands-on experience in robotics software development. Interns become part of an engineering team that designs, builds, and refines software for robotic systems. Role overview This internship centers on practical work within the robotics sector. Interns contribute to ongoing projects that aim to support and improve robotic technologies. Collaboration with experienced engineers is a key part of the role, with opportunities to tackle real software challenges. What you will do Help advance projects that enhance robotic technologies Work closely with seasoned engineers on software tasks Take part in the entire development process, from initial design to implementation

Join our innovative team at anybotics AG as an Electrical Engineering Intern. This is a unique opportunity to gain hands-on experience in the field of robotics and automation while contributing to cutting-edge projects. As an intern, you will work closely with experienced engineers and participate in the design, testing, and implementation of electrical systems in our robotic solutions.

StepStone Group is a leading global specialist in private markets, providing customized investment strategies, expert advisory services, and insightful, data-driven analysis to investors worldwide. By leveraging our exceptional platform and unparalleled intelligence across various sectors, strategies, and geographies, we empower our clients to discover the insights and solutions necessary for their success.Position Overview:We seek an entrepreneurial and detail-oriented individual with excellent communication skills for the 2026 Private Debt Internship. The successful candidate will quickly comprehend complex situations, manage their time effectively, and prioritize their workload efficiently. This internship serves as a perfect entry point into the realm of Private Debt, allowing the candidate to evolve into an asset class expert across different areas within the firm. The internship is designed to be flexible, offering opportunities to rotate between teams for broader exposure and a steep learning curve.Primary Responsibilities Include:Support various teams in business development, client servicing, and portfolio management as needed.Assist in the preparation, updating, and optimization of presentations, pitch decks, and marketing materials.Coordinate and respond to internal and external information requests, including RfPs, DDQs, and client inquiries.Help portfolio managers and team members with portfolio analysis, monitoring, and performance reviews.Contribute to the development and updating of internal and external communications and documentation.Engage in ad hoc projects and analyses across business functions (e.g., investments, operations, reporting).

At Exa, we are revolutionizing the landscape of search engines by constructing a robust platform from the ground up to cater to every AI application. Our team is dedicated to building a colossal infrastructure that efficiently crawls the web, trains cutting-edge embedding models for indexing, and develops high-performance vector databases using Rust for swift searching capabilities. We are proud to operate a $5M H200 GPU cluster that powers tens of thousands of machines with unparalleled efficiency.As a member of our Machine Learning team, you will play a pivotal role in training foundational models for advanced search functionalities. Our mission is to create systems capable of instantaneously filtering the vast knowledge available online to deliver exactly what you need, no matter the complexity of your query. Essentially, we aim to transform the web into an extraordinarily powerful database.We are in search of a passionate Machine Learning Research Engineer who will focus on training embedding models to enhance web search accuracy. This role will involve conceptualizing innovative transformer-based architectures for search, generating extensive datasets, conducting evaluations, and consistently striving to surpass our internal state-of-the-art benchmarks.

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges within the realms of AI and Robotics. Our goal is to develop future generations of intelligent machines designed to enhance the quality of life for everyone.About the Role: Research ScientistAs a Research Scientist, you will possess extensive hands-on research experience, specializing in one or more of the following areas: Robot Control (Reinforcement Learning, Imitation Learning), Perception, Autonomy and Navigation, Large Language Models (LLM/VLM), and Hardware Design. If you are passionate about innovating technology for robots and enhancing their capabilities and utility, we invite you to become part of our team!

BLP Digital specializes in agentic AI for ERP automation, serving large enterprises across finance, procurement, logistics, and sales. Founded by ETH Zurich and HSG alumni, the company’s AI agents automate over 70,000 processes daily for more than 20,000 users in 40+ countries, including Fortune 500 clients. With strong technical roots and deep business process knowledge, BLP Digital has built a SaaS product with proven traction and a rapidly expanding international customer base. This onsite internship in Zurich offers direct involvement in deploying BLP’s Native-AI-powered ERP automation solutions. Interns move beyond observation, taking responsibility for real projects and contributing to live implementations. The role suits those who are curious, proactive, and interested in both technology and business operations. Expect a steep learning curve and meaningful responsibility from the start. Internship Details Location: Onsite in Zurich Full-time preferred; part-time possible Minimum duration: 3–6 months What you will do Support ERP automation projects from requirements analysis through deployment Analyze customer business processes to identify automation opportunities Help design and configure tailored solutions for client workflows Collaborate with engineering and product teams to address technical and process questions Draft documentation, implementation guides, and summarize customer insights Assist with customer communications to keep projects moving forward Gather feedback from users and propose improvements to products and processes Take on additional tasks as needed to support the project team

At Google DeepMind, we celebrate the richness of diverse experiences, knowledge, and backgrounds, leveraging these unique perspectives to achieve remarkable outcomes. Our commitment to equal employment opportunity extends to all individuals, irrespective of sex, race, religion, belief, ethnicity, nationality, disability, age, citizenship, marital status, sexual orientation, gender identity, pregnancy, or any other legally protected status. Should you require any accommodations due to a disability or other need, please feel free to inform us.SnapshotThe Gemini Safety team plays a crucial role in ensuring the safety and equitable behavior of Google DeepMind's most recent Gemini models. As a Research Scientist, you will apply and innovate data-driven and algorithmic solutions to enhance our latest user-facing models. This role thrives in a fast-paced, collaborative environment characterized by a strong culture of support and dedication.About UsAt Google DeepMind, we believe that artificial intelligence can be one of humanity’s most impactful inventions. Our team consists of scientists, engineers, and machine learning specialists working together to push the boundaries of AI technology for the benefit of the public and to facilitate scientific discovery. We prioritize safety and ethics in all our collaborations addressing critical challenges.The RoleWe seek a dynamic Research Scientist who excels in tackling new research questions and adeptly implementing innovative research concepts.Our team is focused on enhancing the safety and fairness of cutting-edge AI models, contributing foundational technologies that are integral to various product areas including Gemini App, Cloud API, and Search.Key Responsibilities:Post-training and instruction tuning of state-of-the-art large language models (LLMs), concentrating on text-to-text, image/video/audio-to-text modalities, and agentic capabilities.Investigate data, reasoning, and algorithmic solutions to ensure that Gemini Models are safe, maximally beneficial, and accessible to all.Enhance the adversarial robustness of Gemini, particularly in relation to high-stakes abuse risks.Design and uphold rigorous evaluation protocols to identify model behavior gaps and opportunities for safety and fairness improvements.Develop and implement experimental plans to address identified gaps or to create entirely new capabilities.Foster innovation and deepen understanding of safety in AI systems.

Intrinsic Robotics is at the forefront of redefining industrial robotics as part of Alphabet's innovative vision. We are committed to harnessing advances in AI, perception, and simulation to unlock new possibilities in the field of industrial robotics, with software and data at the heart of our solutions. Our mission is to make industrial robotics smarter, more accessible, and user-friendly for a diverse range of businesses, entrepreneurs, and developers. Our dynamic team consists of engineers, roboticists, designers, and technologists who are passionate about unleashing the creative and economic potential of industrial robotics. Role OverviewAs a Senior Research Scientist within our Applied Research team, you will spearhead applied research initiatives and design groundbreaking algorithms in geometric computer vision and image/video-centric foundation models tailored for scalable deployment in industrial robotics. Your expertise in Deep Learning will aid in defining processes and formulating strategies to reduce hallucination risks, enhance accuracy, and execute algorithms on industrial robotics workcells, thereby assessing the sim-to-real transfer of models. Additionally, you will guide the development of synthetic data and annotations essential for training foundation models, identifying gaps in the sim-to-real transfer process. Collaboration with research partners and interdisciplinary engineering teams will be crucial as we explore new methodologies and architectures to integrate cutting-edge foundation models into real-world industrial applications. Continuous learning and embracing unfamiliar technologies will be integral to your role. Your ImpactYour contributions will be pivotal in democratizing access to advanced AI capabilities within the robotics sector, boosting the reliability of deploying AI models at scale in industrial environments. Your day-to-day responsibilities will include: You will demonstrate insight and innovation, proactively identifying challenges and proposing practical solutions that can be implemented in high-throughput settings.You will act as a liaison between the robotics team and our research partners, collaborating effectively to provide engineering insights into research projects and conceptualize next-generation solutions. You will serve as an advisor to engineering and cross-functional teams, guiding them in translating early-stage AI research into robust engineering capabilities within Flowstate (Intrinsic’s robotics software platform).

Join us at anybotics as a Visual AI Data Engineering Intern, where you'll have the opportunity to work on cutting-edge projects that shape the future of AI technology. This internship offers you a unique chance to collaborate with our talented team and gain hands-on experience in data engineering, focusing on visual AI solutions.

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence framework that will drive the next generation of humanoid robots. Our overarching mission is to expedite the transformation from delicate prototypes to their practical application in real-world scenarios. Founded by preeminent scientists specializing in robot reinforcement learning, with backgrounds from Nvidia and ETH Zürich, we are supported by top-tier international venture capital firms. In just a few months, we've transitioned from our initial line of code to the deployment of tangible humanoid capabilities alongside our partners.The Role:We are seeking a highly skilled expert in whole-body motion generation and/or vision-conditioned generative models to enhance our team in Zurich. Drawing inspiration from the recent advancements in neural avatars and computer graphics, we strive to implement similar methodologies to generate comprehensive body movements for our humanoid robots. The primary objective of this role is to innovate and implement cutting-edge multimodal generative models for robot trajectory generation.

Flexion Robotics develops intelligence for next-generation humanoid robots, aiming to move quickly from prototypes to real-world use. Founded by specialists in robot reinforcement learning from organizations like Nvidia and ETH Zürich, the company has progressed from early code to functional humanoid systems, supported by international venture capital. Role overview This AI Research Engineer position centers on reinforcement learning for manipulation in humanoid robots. The work blends research and engineering, with a focus on enabling robots to perform long-horizon, contact-rich tasks reliably outside the lab. The role involves significant ownership and close collaboration with simulation and control teams to deliver integrated robotic capabilities. What you will do Advance RL-based manipulation: Design and implement learning strategies for complex, dexterous manipulation tasks, moving humanoid robots toward practical deployment. Address long-horizon and sparse-reward challenges: Develop algorithms and systems to help robots handle multi-stage tasks with delayed or sparse rewards, tackling issues like credit assignment, exploration, and stability in real-world conditions. Facilitate sim-to-real transfer: Create methods for transferring policies from simulation to physical robots, focusing on robustness, managing model mismatches, and applying techniques such as domain randomization and system identification. Enhance RL systems: Optimize large-scale training pipelines for learning across many parallel environments, and work with simulation teams to improve efficiency and enable more complex behaviors. Innovate learning methodologies: Explore and apply new approaches that combine reinforcement learning, imitation learning, and model-based methods, going beyond standard practices when needed. Location This role is based in Zürich, Zurich, Switzerland.

About Flexion Robotics:At Flexion Robotics, we are at the forefront of developing the intelligence layer that will drive the next generation of humanoid robots. Our goal is to facilitate the shift from fragile prototypes to the real-world deployment of humanoid technologies. Founded by top scientists specializing in robot reinforcement learning, including former experts from Nvidia and ETH Zürich, and backed by prominent international venture capital firms, we have quickly progressed from our initial coding phase to showcasing real humanoid capabilities in collaboration with our partners. Discover more about our innovative journey at flexion.ai.The Internship Role:Join us as a Product & Commercial Operations Intern, where you will collaborate closely with the Product Lead on various initiatives, including customer discovery, partnership operations, and proposal preparation. This role offers you direct exposure to genuine customer dialogues, active contract processes, and strategic decision-making regarding opportunity pursuits. While your tasks will be operational and detail-oriented, you will be situated within a strategic context—providing you with a front-row seat to how an early-stage robotics company successfully brings a highly technical product to market.Your Responsibilities:Prepare briefing documents and conduct research prior to discovery calls with prospective customers and partners.Organize and maintain pipeline tracking, including deal statuses, contacts, notes, and next steps.Assist in assembling proposals for Proof of Concepts (PoCs) by consolidating technical specifications, scope descriptions, and commercial terms from existing templates and previous engagements.Draft follow-up communications and coordinate schedules with external stakeholders.Help manage contract documents, track redline versions, and maintain status overviews during negotiation cycles.Compile and format contractual exhibits, milestone descriptions, and acceptance criteria based on input from the Product Lead and engineering team.Research potential customers and competitors; summarize findings into concise internal briefs.Contribute to structuring and maintaining internal documentation, including partnership summaries, process templates, and decision logs.Identify opportunities to develop repeatable templates and streamlined processes where ad hoc methods are currently in use.

About Flexion Robotics:At Flexion Robotics, we are at the forefront of creating the intelligence that will drive the next generation of humanoid robots. Our mission is to expedite the shift from fragile prototypes to tangible humanoid deployments in real-world applications. Founded by renowned scientists in the field of robot reinforcement learning (including alumni from Nvidia and ETH Zürich) and supported by prestigious international venture capital firms, we have rapidly progressed from our initial coding phase to successfully deploying real humanoid capabilities alongside our partners.The Role:We are seeking an enthusiastic intern to join our manipulation team, where you will play a critical role in developing and implementing learning-based controllers for dexterous manipulation on our humanoid robot. This position offers you the opportunity to collaborate closely with top engineers and researchers across various teams focused on manipulation, reinforcement learning, and motion generation. In this hands-on role, you will gain invaluable real-world robotics experience by contributing to cutting-edge research and development initiatives, from training models to deploying them on physical hardware.If you are passionate about advancing the field of humanoid dexterous manipulation and eager to learn from one of the leading teams in the industry, we encourage you to apply.

About GenPeach AIGenPeach AI is a pioneering research lab dedicated to developing vertical multimodal foundation models aimed at creating hyper-realistic human representations in images and videos. Our mission is to empower human creativity through advanced AI tools rather than replace it.We build our models from the ground up, utilizing proprietary datasets at an expansive scale, innovative architectures and training methodologies, extensive GPU resources, and seamless product integration to expedite the delivery of our research to end users.Our team consists of approximately 10 highly skilled professionals, guided by advisors from Google DeepMind and supported by prominent AI-focused investors and advisors from OpenAI, Meta AI, Microsoft AI, Project Prometheus, and Fal. Collectively, our team and advisors have significantly contributed to groundbreaking models such as Meta’s Imagine/MovieGen, OpenAI’s Sora, Google’s Veo, and Gemini.About the TeamYou will become a key member of the research team, focused on advancing image/video generation and multimodal understanding. Collaborating closely with fellow Research Engineers, Scientists, and Founders, you will transform innovative research into scalable training processes, robust evaluations, and production-ready systems.About the RoleWe are seeking an AI Research Engineer to contribute to the end-to-end development and scaling of GenPeach’s foundational models. Your responsibilities will include the implementation of new model concepts and training methodologies, managing critical aspects of the training stack that influence quality and efficiency, and navigating production constraints.This role is hands-on with a high degree of ownership, where you will write research-quality code that is vital for production.In this role, you willDevelop and refine image/video generative model concepts (architecture, loss functions, conditioning, sampling, distillation, post-training adjustments)Oversee training performance comprehensively (distributed training, throughput, memory management, stability, debugging scaling issues)Establish and enhance the experimental workflow (evaluations, ablation studies, reproducibility tools, reporting, decision-making processes)Create and optimize VLMs for image/video captioning (data preparation, training strategies, model variations, evaluation)Conduct high-frequency research: review literature as needed, implement concepts, and validate findings empirically

At Scandit, we empower individuals with cutting-edge technology that transforms everyday tasks into efficient workflows. Our innovative solutions enhance operational efficiency across various sectors, enabling quicker deliveries, accurate medication matching, and streamlined retail operations. Join us in our mission to elevate Scandit to new heights through continuous growth and innovation. About the Internship We are seeking enthusiastic students who are passionate about computer vision and machine learning to become part of our Zürich team for a duration of four to six months. As an intern, you will contribute to product development by improving and extending algorithms and their automated testing infrastructure. This internship presents an exceptional opportunity to apply your academic knowledge while gaining valuable hands-on experience in a collaborative international environment. What You Will Do Depending on your background and interests, you may work on a variety of exciting projects, including: Refining barcode scanning algorithms to perform effectively in challenging conditions such as deformed surfaces, glare, or reflections. Enhancing our real-time visual tracking and pose estimation systems by integrating advanced sensor measurements and state-of-the-art machine learning algorithms. Improving our object and context detection capabilities through the development and integration of cutting-edge machine learning techniques. Advancing our real-time visualization systems to facilitate the analysis and development of our computer vision algorithms. Streamlining our image annotation tools by implementing intelligent algorithms to reduce manual efforts. Creating features for image classification, matching, and reconstruction to enhance our algorithms for monitoring shelf and product conditions in supermarkets. Our Tech Stack Computer vision algorithms: C++17, CMake Machine learning training and tools, cloud processing: Python, Pytorch Acceleration: SIMD, Vulkan, CoreML

ANYbotics is a rapidly expanding technology firm committed to pioneering the future of mobile robotics across diverse sectors. Become a part of our highly skilled and passionate team of over 200 professionals and contribute to the development of state-of-the-art robotic technology.The OpportunityAs a member of our Solutions team, you will drive innovations in autonomous robotic inspection intelligence. You will develop advanced AI, machine learning, and sensing technologies, from initial exploration to solving complex real-world deployment challenges. By collaborating with engineers and partners, you will evaluate new technologies, design proof-of-concept experiments, build research prototypes, and efficiently transition successful ideas into our products. Your contributions will influence our technology roadmap, steer our long-term strategy, and ensure every solution is robust, dependable, and impactful. If you are passionate about exploration, hands-on experimentation, and believe your research can transform robotics and industrial inspections, this role offers you the chance to make a substantial impact—for our clients and the robotics community.Market & TechnologyANYbotics is revolutionizing industrial plants in the renewable energy, process, and utility sectors by integrating robotics into a variety of innovative applications previously thought unattainable. Our mobile robot ANYmal is designed for extreme mobility in intricate environments, utilizing camera and LIDAR-based sensing for comprehensive autonomy and obstacle avoidance, enabling it to perform tasks and provide high-quality, consistent inspection results. We create numerous custom hardware solutions, encompassing the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all associated ANYbotics electrical hardware.About Us:ANYbotics is a leading robotics enterprise specializing in advanced autonomous systems. Following a successful Series B funding round, we are positioned for significant growth and international expansion. Our mission is to transform the robotics industry through innovative technology and groundbreaking solutions. As we embark on this thrilling journey, we are on the lookout for a dynamic and experienced individual to join our team and help us shape the future of autonomous robotic inspections.

Visium is looking for a Junior Machine Learning Engineer Intern to join the team in Zürich. This internship offers hands-on experience with artificial intelligence and machine learning projects, working closely with experienced engineers. Role overview As a Junior Machine Learning Engineer Intern, you will contribute to building and refining machine learning models. The work includes supporting the development, testing, and deployment of models that support different projects within the company. What you will do Assist in designing and developing machine learning models Support testing and validation of model performance Help deploy models to production environments Work with team members to solve real-world problems using data-driven approaches Team and environment This role involves close collaboration with experienced professionals in a supportive and learning-focused setting. Interns are encouraged to ask questions and contribute ideas as part of the team’s ongoing projects.