Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.

About the Internship

We are looking for students with a passion for computer vision or machine learning to join one of the teams in Zürich for four to six months. You will be a part of product development and you will help us improve and extend algorithms and their automated testing infrastructure.

Scandit offers an excellent opportunity to apply the theory from your studies while gaining hands-on experience with industry best practices in a international team.

What You Will Do

We have many interesting projects to offer. Depending on your background and interests, you could work on one of the following projects:

• Improve barcode scanning algorithms in difficult scenarios such as surfaces with deformations, glare or reflections
• Enhance the real-time visual tracking and pose estimation system of our solutions through the integration of additional sensor measurements and cutting-edge machine learning algorithms
• Enhance our object and context detection systems by developing, refining, and integrating state-of-the-art machine learning algorithms tailored to our specific domain
• Enhance our real-time visualization system to analyze and develop our computer vision algorithms
• Reduce manual steps in our image annotation tools with smart algorithms
• Develop image classification, matching and/or reconstruction features in order to improve the algorithms for understanding the current state of shelves and products in supermarkets

Our Tech Stack

• Computer vision algorithms: C++17, CMake
• Machine learning training and tooling, cloud processing: Python, Pytorch
• Acceleration: SIMD, Vulkan, CoreML

Who You Are

• Highly motivated student, interested in an internship of four months or longer
• Enrolled in or completed a bachelor’s or master’s program in computer science, information technology, robotics or a related field
• Solid knowledge of data structures and experience in object-oriented programming
• You have taken courses in computer vision, image processing and/or machine learning
• Ideally you already had some exposure to solving a computer vision problem in a semester project or thesis
• If you are interested in working on the core image recognition algorithms, solid C++ programming skills will be needed
• Python programming knowledge is a plus

What We Offer

• We are certified as a “Great Place to Work” in 7 countries!
• A highly skilled team and a fun environment where you can put your enthusiasm for computer vision challenges and cutting-edge technologies to use
• Hackathons, summer parties, company outings and other regular events
• Office in the city of Zürich (Hardbrücke)

Imagine the What. Build the How.

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applications will receive consideration for employment without regard to race, colour, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed. 

In Short:

On's success comes down to two reasons: incredible products - and incredible people. It has one simple mission: Ignite the Human Spirit Through Movement. Available today in over 50 countries and cited as “the fastest growing sports company in the world,” On shoes and Performance Running Gear have won design and technology distinctions the world over.

As our Sr. Lead Distribution Procurement Category Manager, you will be responsible for the end-to-end strategic sourcing and category management of our global warehousing and distribution network. You will be tasked with developing long-term category strategies that support On’s rapid growth while ensuring operational excellence and cost efficiency across our Distribution & Logistics portfolio.

Your Mission:

• Category Leadership: Develop and execute comprehensive category strategies specifically for warehousing and distribution services globally.
• Sourcing & RFP Management: Lead complex RFPs and sourcing events for 3PL providers, ensuring all decisions are supported by rigorous financial and operational analysis.
• Commercial Negotiation: Drive end-to-end contract negotiations, focusing on total cost of ownership (TCO), service levels (SLAs), and long-term scalability.
• Warehouse Operational Design: Support the procurement of automation and technology solutions (e.g., MHE, robotics) to drive distribution center efficiency.
• Network Optimization: Collaborate on business case creation for new node entries, facility expansions, or site relocations within the EMEA and global network.
• Vendor Excellence: Establish robust SRM (Supplier Relationship Management) frameworks to drive accountability and continuous improvement with our logistics partners.
• Labor & Consumables Strategy: Manage the procurement of indirect warehouse needs, including temporary labor contracts and packaging/consumables strategy.
• Operational Visibility: Create and maintain standardized reporting tools to track category spend, vendor performance, and contract compliance.
• Stakeholder Alignment: Facilitate regular strategic alignment meetings with Supply Chain, Finance, and IT leadership to ensure procurement goals support the broader business roadmap.
• Continuous Improvement: Proactively identify value-engineering opportunities to optimize our distribution footprint and drive sustainable cost savings.

Your Story:

• Subject Matter Expertise: Deep understanding of the warehousing and 3PL landscape, including cost models, operational drivers, and industry benchmarks.
• Strategic Influence: Skill to quickly build credibility and trust with executive-level stakeholders and external partners.
• Analytical Precision: Ability to build data-driven business cases and perform complex root cause analysis to support sourcing recommendations.
• Process Discipline: Strong knowledge of procurement best practices, contract law, and project management methodologies.
• Accountability: Ability to serve as the ‘single source of truth’ for the distribution category, managing complex dependencies across the global network.
• Resilience: Capacity to act as a change agent, navigating market volatility and high-pressure negotiations with tact and diplomacy.

Basic Qualifications:

• A Bachelor’s degree (a combination of college education and related work experience may be used as a substitute).
• Minimum 5 years of experience in strategic procurement, category management, or a specialized logistics role in a fast-paced environment.
• Expert knowledge and proficiency with MS Office applications and experience with sourcing tools (e.g., Ariba, Coupa, etc).

Additional Skills:

• Strong demonstrated ability to work independently, manage data-intensive projects, and engage remote teams.
• Excellent discretion, judgment, and the capacity to handle sensitive commercial data.
• Solid business judgment, including the ability to anticipate the impact of procurement decisions on the end-to-end supply chain.
• Must demonstrate an energetic, positive, helpful demeanor and a passion for On Running.

What We Offer:

We offer a dynamic, challenging and sportive environment that has been ranked as the ‘fastest growing sports company’ of its time. With offices across the globe, we are an international team who is hungry to innovate and build something incredible. We foster an active environment where each individual thrives for excellence and can achieve their full potential. This is where your work matters, you’re hands-on and your team members are amongst the very best in their respective disciplines and fields. If you are driven to bring On to the next level, curious about the opportunity and want to be part of our growing team send us your application, and join the ONiverse!

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We are requesting that you provide sensitive demographic information such as gender identity and race/ethnicity to help us ensure that we are creating equitable and fair experiences for all potential future team members. You are not required to provide this demographic information and this information will in no way impact your eligibility for hire.

In short

On is seeking a strategic and hands-on manufacturing leader to spearhead our global expansion. You will be the architect of our future production landscape, building state-of-the-art, automated factories from the ground up, centered on our revolutionary Lightspray™ technology. This is your mission to redefine how high-performance sportswear is made, bringing production closer to our customers and setting new industry standards for speed, quality, and sustainability.

Your mission

• Take complete ownership of new factory builds, guiding them from initial site selection and design through to fully stabilized, high-volume production.
• Serve as the driving force behind On’s strategic nearshoring initiative, establishing advanced manufacturing hubs that bring our proprietary Lightspray™ technology to key global markets.
• Translate the master Lightspray™ engineering blueprint and overarching business goals into precise technical specifications for each new site.
• Masterfully develop and command the project's key variables - timelines, budgets, and resource plans - to ensure we deliver on time and within scope.
• Act as the central nexus for collaboration, aligning cross-functional teams including Engineering, Supply Chain, and local partners on the critical technical and infrastructure requirements for each facility.
• Become the go-to technical leader on the ground during construction and commissioning, proactively identifying and dismantling complex engineering and logistical roadblocks.
• Build and foster strategic partnerships with key suppliers and stakeholders, ensuring unwavering business alignment and the on-time, in-full delivery of our production capabilities.
• Uphold On’s legacy of excellence by ensuring every new facility meets our uncompromising standards for quality, sustainability, and operational performance.

Your story

• A Bachelor’s or Master’s degree in Mechanical, Industrial, or a related Engineering field. A background in Business Administration is a welcome addition.
• You have a distinguished track record in a senior engineering or manufacturing capacity, with deep, hands-on experience bringing new manufacturing sites to life from concept to reality.
• Your project management skills are second to none, demonstrated by your experience leading large-scale, international capital projects to successful completion. PMP certification is a strong plus.
• You possess a continuous improvement mindset, fluently applying Lean methodologies like Six Sigma and Kaizen to drive efficiency and operational excellence.
• You are a master troubleshooter, combining expert-level problem-solving skills with a hands-on approach to systematically overcome any obstacle in your path.
• You are a true strategist, capable of building and executing on a long-term vision
  while masterfully managing the immediate needs of complex projects.
• You are an exceptional communicator and leader, able to inspire, influence, and align teams across diverse cultures and time zones.
• Your background ideally includes direct experience with the technologies that power our future: automation, robotics, and plastics manufacturing.
• You are fluent in English, our global language of collaboration.
• You have a passion for global work and are ready to travel extensively to our international project sites.

Meet the team

Join the LightSpray™ team, a group of passionate innovators and entrepreneurial thinkers united by a single mission: to make high-performance footwear at scale, anywhere, anytime, while minimizing our environmental impact. We challenge conventions and push the boundaries of possibility to create sportswear as the world has never seen. Be a core part of the team pioneering the technology-driven solutions set to revolutionize the running shoe landscape from the ground up.

What we offer

On is a place that is centred around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Role

As a Senior Research Scientist in the Applied Research team, you conduct applied research and design innovative algorithms in the space of geometric computer vision and image/video/vision-centric foundation models for deployment in industrial robotics at scale. In this role you define processes and develop approaches in Deep Learning that mitigate the risks of hallucinations, improve accuracy and deploy algorithms on industrial robotics workcells to gauge sim-to-real transfer of models. As a Senior Research Scientist at Intrinsic you provide input and guidance for the development and generation of synthetic data and annotations required for training foundation models at scale based on the identification of gaps in the sim-to-real transfer of models. You also work with Research partners and cross-disciplinary engineering teams to ideate new approaches and architectures to bring state of the art foundation models to real-world industrial applications. Constant learning and exploration of unfamiliar technologies is also part of this role. 

How your work moves the mission forward

Your work can play a significant role in democratizing access to advanced AI skills to the average user in robotics and enhance the credibility of deploying AI models at scale in industrial settings. As part of your day-to-day work: 

• You are insightful and innovative, proactively identifying needs and bottlenecks based on customer problems and proposing practical solutions that are deployable in high throughput environments.
• You serve as the nexus between the robotics team and our research partners—collaborating with them, providing engineering insights into research projects, and ideating practical next generation solutions. 
• You serve as an advisor to the engineering and other cross-functional teams providing critical guidance in terms of translating early (AI-powered) research capabilities into robust engineering capabilities in Flowstate (Intrinsic’s software platform for robotics solutions).
• You continually keep abreast of the latest developments in deep learning, AI, machine learning, perception to ensure that Intrinsic can continually keep evolving its advanced capabilities over time.
• Document and develop the prototype fully so it can be shipped to external users. 

In all the above, you will work closely with a sub-team within the R&D division, but will also frequently collaborate with other engineering, and product groups within Intrinsic.

Skills you will need to be successful

• Master’s or PhD degree in Computer Science, Robotics, or a related technical field with a high degree of passion for robotics and foundation models and a strong inclination towards accelerating the deployment of such models in practical industrial manufacturing applications.
• 3 years of experience in robotics software development or research (work on your PhD can count towards this).
• Proficiency programming in Python and at least one of the ML/DL frameworks such as PyTorch, Jax, and/or Tensorflow.
• Knowledge of robotics perception or manipulation algorithms.
• Experience working with robot hardware or simulation environments.
• A team player with a product mindset, a willingness to learn, and apply oneself to delivering value in practical real-world problems.

Skills that will differentiate your candidacy

• Advanced degree (Master's or PhD) in Robotics, Computer Science, or a related technical field.
• Expertise in deep learning, including transformer-based approaches for robotics, and other areas such as Learning from Demonstrations, Reinforcement learning.
• Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
• Experience generating or utilizing synthetic data for machine learning in robotics.
• Publications in relevant robotics conferences or journals.