Scandit Zürich

Senior Computer Vision Engineer

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.

We are now building a new generation of technology for retail: a computer vision–driven system that helps retailers to increase their profit margins through better operational insight and automation. As a Senior Computer Vision Engineer, you will play a leading role in taking this product from 0 to 1, owning key technical decisions and delivering production-grade vision capabilities end to end.

You will own the technical direction for action recognition in real‑world retail environments: from defining how we collect and annotate video data, to prototyping and evaluating models, to iterating on precision, recall and end-to-end alert latency under production‑like conditions. You'll work closely with product, data, and engineering stakeholders to validate the riskiest assumptions quickly and cost‑effectively.

If you enjoy turning ambiguous, high‑impact problems into working ML products – and have experience building commercial computer vision systems for action recognition, autonomous checkout, worker safety, or similar applications – we'd love to talk.

About the role

As a Senior Computer Vision Engineer, you will be responsible for leading the technical discovery and early development of Scandit's new solution – from validating the riskiest assumptions to building and iterating on the first end-to-end prototypes. You will work closely with product, other engineering teams, and external stakeholders to turn real-world video data into robust, privacy-aware computer vision models that can operate in live retail environments.

This role connects cutting-edge CV/ML research with real-world product constraints – requiring both deep technical expertise and a pragmatic, experimental approach to building production-ready systems under ambiguity and time pressure.

What you will do

• Defining and prioritizing technical experiments to validate key risks (e.g. precision, recall, latency) for computer vision models in retail stores
• Designing and implementing end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment
• Setting up and refining the human annotation workflow to create high-quality training and test datasets from video streams
• Collaborating with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps
• Selecting, adapting, and optimizing state-of-the-art computer vision architectures for suspicious behavior and action detection in unconstrained environments
• Providing technical leadership in the space of video-based computer vision applications, helping shape best practices and future hiring for the team

Who you are

We are looking for a senior computer vision / machine learning engineer who has successfully built and shipped real-world products, ideally involving action recognition on video. You combine deep hands-on technical expertise with a pragmatic, experimental mindset and are comfortable working in a high-ambiguity, 0→1 product environment. You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions.

• University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)
• Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production
• Proven track record of building end-to-end CV/ML systems from 0→1 (ideally commercial products rather than purely academic projects)
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail, autonomous checkout or similar domains)
• Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data
• Ability to work in a dynamic, high-uncertainty environment, prioritize experiments, and iterate quickly on technical approaches
• Ability to collaborate effectively with cross-functional teams (e.g. product, backend, data, operations) and communicate complex technical topics clearly in English (B2 level or higher)
• Eligible to work in the hiring location

Nice to have:

• Experience with privacy-aware or GDPR-compliant data pipelines, especially for video data
• Background in building or selecting annotation tools and workflows for computer vision training data
• Prior work on retail, autonomous stores using computer vision

What we offer

Here are just some of the reasons why people choose to build their careers at Scandit:

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
• Hackathons 
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings 
• Festive/end of year all company celebrations 
• Your birthday off 
• An attractive individual equity plan in a high growth company 
• We are certified as a “Great Place to Work” in 7 countries!
• Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London.
• Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany
• Specific benefits related to the location you are joining

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

Imagine the What. Build the How.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

As the Senior UX Manager for Transactions and On-Trip, you will lead a small team of product designers, content designers, and researchers. You will be responsible for the customer experience across our payments, checkout, and post-booking service journeys, with a focus on reliability, flexibility, and support at scale. Your teams are the stewards for hassle-free transacting, payment integrity, and all aspects of post-purchase fulfilment - from confirmations to flexibility, through to multi-channel on-trip support and resolution. You’ll enable travelers to move from booking to experience in a secure, seamless, and supported way aligned with business and regulatory requirements.

Your mission

• Lead and manage a team of 3 designers, 2 content designers, and 1 researcher (dotted line), focused on Transactions (checkout, payments, wallets, refund flows) and On-Trip (post-booking service, fulfillment, resolution, multi-channel support).
• Enable your team to deliver measurable improvements in conversion, payment reliability, post-booking NPS, and customer support efficiency.
• Develop strong relationships and collaborate closely with PM, engineering, research, risk, compliance, data analytics, and support ops.
• Guide your team to solve for technical complexity in payments, anti-fraud/security, and regulatory requirements without sacrificing usability.
• Drive structured problem-solving for ambiguous service challenges e.g., guest issues at redemption, refund quick-resolution, or cross-timezone support handoff.
• Build and evangelize best-in-class experiments, data-driven design, and rapid optimization for all payment and support touchpoints.
• Coach your team for excellence in delivery and personal growth; you ship high-quality work at speed and scale, raising the bar on craft and process.
• Maintain high standards for operational excellence, resilience, and compliance, proactively identifying UX risks that affect financial transactions or support.
• Lead and participate in critical design reviews, resolving trade-offs between security, legal, customer needs, and speed-to-market.

Your toolkit

• 8+ years previous experience leading and managing a team of at least 4-6 designers for consumer products 
• 4+ years previous experience as a design manager with scope including leading designers and responsible for at least 2 verticals with a high level of complexity and ambiguity resulting in measurable impact results 
• Experience working in fast-paced environments, solving ambiguity through structured design thinking and frameworks. Demonstrate the ability to take projects from zero to one.
• Past experience as a senior designer working on B2C product experiences
• Experience working with test and algo-driven products. Deep understanding of an experimentation-driven design process. 
• Top-notch design craft and ability to rapidly ideate and produce design concepts 
• Top communication skills to clearly articulate and defend your design while making trade-offs with complex product and policy definitions.  
• Ability to wear a PM hat by influencing product strategies while balancing ideal visions vs. execution path to business impact. 
• An entrepreneurial mindset, with the ability to navigate ambiguity, and drive clarity that brings the user, technology, and business together into an actionable roadmap
• Communicating with multiple levels of stakeholders, including senior leadership

Extras that give you an edge

• Experience working in GenAi-driven products
• Experience in Fintech, marketplace or support domains
• Experience scaling design teams at a mid to late-stage startup

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. 
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more... 

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

In short

Are you a visionary designer ready to bridge the gap between imagination and high-performance product? Our Product Academy program is an immersive, 2-year rotational program designed to cultivate the next generation of creative talent at On.

The journey is designed to develop you into a true functional expert with the potential to grow in our dynamic organization. You will embark on a specialized learning journey, with rotations designed to build depth in product Design.

You will journey from the conceptual sketch to the final product on the shelf. You will rotate through the core pillars of our design organization, gaining a holistic, 360-degree view of what it takes to build world-class, disruptive sportswear.

Your two-year path is structured to build your expertise across our ecosystem:

• Rotation 1: Apparel & Accessories Design (6 Months) Master the foundations of On’s design language. You will collaborate with our Apparel team to translate consumer insights into functional, aesthetic, and performance-driven collections.
• Rotation 2: Footwear Design (6 Months) Pivot to the core of our business. You will dive into the technical complexities of footwear design, learning how to balance biomechanics, innovation, and our signature aesthetic.
• Rotation 3: Production & Development Insights (5 Months) Theory meets reality. You will travel to Vietnam to work directly with our development teams. You will witness firsthand how your designs are industrialized, solved for manufacturing, and brought to life in the factory.
• Rotation 4: Tailored Specialization (7 Months) The final rotation is shaped through a balance of your performance and interests, alongside the needs of the business. Based on this, you will deep-dive into a specialised area such as Innovation Design, Color & Material, Visual Exploration, or Sustainability.

Start date: September 1st, 2026.

Your mission

• Collaborative Creation: Work closely with cross-functional partners in Product Development, Material Science, and Product Management to ensure design integrity from inception to mass production.
• The Design Lifecycle: Engage in the full end-to-end design process: research, ideation, 3D modeling/sketching, fitting, and finalization.
• Global Perspective: Act as a conduit between the Design Studio and our global manufacturing partners, sharing feedback loops and finding solutions to complex technical challenges.
• Market Intelligence: Stay at the forefront of the industry by identifying newness in sports, fashion, and technology, translating these findings into actionable concepts for our collections.

Your story

• Background: You hold a Master’s degree in Fashion Design, Industrial Design, Footwear Design, or a closely related creative field.
• The Portfolio: You have a compelling portfolio that demonstrates a mastery of form, color, silhouette, and a deep understanding of technical garment or product construction.
• Cross-Disciplinary Mindset: You don’t see barriers between categories; you see opportunities for innovation. Whether your primary passion is footwear or apparel, you are genuinely excited to master both. You are a "product creator first," meaning you are eager to challenge your comfort zone, apply textile knowledge to performance footwear, or use biomechanical insights to inform apparel. You are fully committed to diving deep into every rotation, regardless of the category, to become a truly versatile designer.
• Technical Toolkit: You are proficient in the Adobe Creative Suite (Illustrator, Photoshop, InDesign). Proficiency in 3D design software (e.g., CLO3D, Rhino, Gravity Sketch) is highly valued.
• The "On" Mindset: You possess an entrepreneurial spirit. You are as comfortable with a messy, conceptual brainstorm as you are with the precision required for technical specs and critical timelines.
• Communication: You have the ability to articulate your creative vision to designers and non-designers alike, using mood boards, sketches, and prototypes to tell a story.
• Language: You are fluent in English (written and spoken).
• Curiosity: You are naturally inquisitive about culture, arts, architecture, and technology, and you are constantly looking for ways to apply these influences to sportswear.
• You have the right to work in Switzerland or the EU.

About the team

You will be based in the heart of our vibrant and diverse Global Design Studio in Zurich – the creative engine responsible for all of On’s disruptive product designs.

The studio encompasses footwear, apparel and accessories design, color and material, innovation design and sustainability. While our teams are structured into verticals to cater to the unique needs of different communities, we operate as a deeply connected ecosystem. Throughout your rotations, you will collaborate with a multitude of multidisciplinary teams across the entire product organization, from innovation and development to color and material.

In close collaboration with Innovation and Product Creation, our team ensures the holistic conception and development of every product. By leveraging cross-functional expertise and diverse design backgrounds, we ensure that every innovation, silhouette, and detail meets the highest standards of quality and performance. 

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Duration: Minimum 6 months; ideally 9–12 months, depending on the candidate’s experience

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 and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

About the Internship

We are offering a research-focused internship aimed at advancing machine learning methods for complex visual understanding tasks. The project centers on deep learning architectures for image-to-sequence modelling, such as Transformers, attention mechanisms, and modern sequence and representation-learning frameworks, to address challenging and highly structured computer vision problems. This project contributes to long-term research efforts aimed at achieving even higher performance, robustness, and generalization in large-scale visual applications.

What you will do

You will work closely with experienced ML researchers and engineers on cutting-edge research at the intersection of computer vision and sequence modeling. Your work will include:

• Designing and experimenting with new ML architectures for structured visual data.
• Evaluating alternative modeling paradigms (e.g., encoder–decoder, hybrid Transformer models, sequence-based representations).
• Investigating techniques for improving robustness, generalization, and multi-view reasoning.
• Running systematic experiments, ablations, and error analyses to validate research hypotheses.

This project provides opportunities for novel model design, extensive experimentation, and scholarly research. You will contribute to long-term innovation in our technology, with potential real-world impact for millions of users. An ideal position for experienced master’s students, PhD collaborations, or candidates preparing for a research career in industry or academia.

Who you are

MSc or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a strong research focus. Candidates should have a solid foundation in machine learning theory, neural networks, and computer vision.

Essential Skills:

• Proficiency in Python and deep learning frameworks such as PyTorch.
• Practical experience designing, training, and evaluating neural networks, including CNNs and Transformer-based architectures.
• Strong analytical and problem-solving abilities, with the capability to interpret experimental results and iterate effectively.
• Familiarity with research best practices, including reproducibility, controlled experiments, and ablation studies.

Desirable Skills:

• Prior research experience in computer vision, pattern recognition, sequence modeling, or image-to-sequence architectures.
• Experience training large-scale models or working with foundation-style architectures.
• Contributions to publications, preprints, or open-source machine learning projects.

Strong communication skills and the ability to work independently in a research-oriented environment.

What We Offer

• We are certified as a “Great Place to Work” in 10 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 center of Zurich

Who We Are

Could your code give 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 and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

“Everybody is welcome here” - Is a celebrated component of our DNA.

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.

#LI-MB1

#Engineering

#Hybrid

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The Drive Team:

Proton Drive is our end-to-end encrypted cloud storage service that makes privacy simple and accessible. Built on the same security principles that power Proton Mail, Proton Drive ensures that files, photos, and documents remain fully encrypted—both in transit and at rest—so only you can access them. Available on web, desktop, and mobile, it enables users to securely store, share, and collaborate without sacrificing privacy or control. By offering a truly private alternative to Big Tech’s data-driven ecosystems, Proton Drive plays a key role in building an internet where privacy is the default.

The Role:

Proton is a mobile-first company building an Internet that respects privacy and puts people, not advertisers, first. As an engineer on our Apple team you’ll build and ship features across Proton’s apps on iPhone, iPad and macOS, working closely with product and engineers across the company to define what “great” looks like on Apple platforms. Our codebase is primarily Swift with some Go, and we’re moving to a platform-independent Rust logical core that communicates with Swift via a generic interface, so Rust experience is a strong plus. Quality is central to the role: you’ll contribute to and maintain our testing stack, including unit tests for business logic, stubbed API tests for pseudo-integration, snapshot tests for UI and XCUITest for end-to-end user flows. You’ll join a team that pairs deep technical expertise with an obsession for simple, usable interfaces, shipping privacy-preserving products used by millions.

We we are looking for:

• You have experience in iOS or macOS development, in particular with Swift (7+ years)
• You have a passion for mentoring other engineers and helping them grow
• You are passionate about user interaction, usability, and providing an excellent user experience
• Demonstrated experience driving change within an organization and leading complex technical projects
• Extensive experience building maintainable and testable code bases, including API design and unit testing techniques
• Extensive experience with multithreading programming and mobile memory management
• A strong grasp of scalable software architecture and software engineering best practices
• An intuition for optimal user experience and design

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

In short: 

This is your chance to kickstart your career in the sportswear industry!

Become part of On's unique rotational development program - the Product Creation Academy. This 2 year journey is designed to develop you into a true functional expert with the potential to grow in our dynamic organization. You will embark on a specialized learning journey, with rotations designed to build depth in Footwear Engineering. But that’s not all! One of your rotations will take you to vibrant Vietnam, where you will learn first-hand what it takes to bring our products to life. To top it off, you’ll receive personalized mentorship from one of our senior leaders, ensuring you make the most of this transformative experience.

Are you ready to shape the future of the fastest growing sportswear company in the world? Dream On!

Program start date: September 1st, 2026.

Application period: Due to the expected high volume of applications, the role will be open for a limited time. We encourage you to apply as soon as possible.

Your mission: 

Over the course of the program, you will rotate through multiple connected teams, building a deep understanding of how Footwear Engineering contributes to bringing products to life. 

From working with data and engineering inputs to uncover insights, to learning how to translate these into parametric 3D models, digital tools, and repeatable workflows, and collaborating closely with engineers, developers, and innovation teams — over the 24 months, you will gain hands-on experience in rethinking how footwear is engineered through a computational and systems-driven approach.

Operating at the intersection of data, AI, and physical product creation, you will contribute to building tools, toolboxes, and processes that transform complex engineering standards, testing data, and product feedback into actionable outputs for footwear development. You will help design and implement digital solutions that automate workflows and elevate how teams create and engineer products.

This experience will set you up for success to start as a true functional expert in computational footwear engineering and support your long-term growth as a key contributor to shaping the future of data-driven, digitally enabled product creation at On.

Your story: 

• Preferably you have an educational background in a relevant field such as Computational Design, Industrial Design, Engineering, Architecture, or similar.
• Approximately 2-3 years of hands-on work in computational design or engineering, whether through professional roles, academic research, or significant personal technical projects.
• You have hands-on project experience (academic or personal) where you built something — e.g. a parametric model, script, or small tool, showing a “builder mindset”.
• You have experience with computational design tools (e.g. Rhino 3D, Grasshopper or similar) and show interest in using them beyond visual design (e.g. solving geometry or process-related problems).
• You have programming competency, ideally in Python, and are comfortable writing scripts to automate tasks or process data.
• You have experience working with data, using tools such as Python libraries (e.g. Pandas) or similar, and are able to apply data or AI in a product design or engineering context.
• You demonstrate structured problem-solving skills and an interest in translating complex, real-world problems into simple, repeatable approaches or workflows.
• You are able to communicate technical ideas clearly, and can explain your thinking to both technical and non-technical audiences.
• You resonate with the On spirits, bring a positive and proactive attitude, and are eager to learn and grow in a fast-paced environment
• You communicate clearly and effectively and are fluent in English (written and spoken).
• You have the right to work in Switzerland or the EU.

Meet the team: 

Our mission is to define and create the future of sportswear bringing to life groundbreaking innovations. Acting at the forefront of material science, sport science and engineering we develop products that push the boundaries of performance and sustainability, blending in unique aesthetic appeal that embodies On’s design DNA.

What we offer: 

On is a place that is centered 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.

The Role

We are seeking an experienced Quantitative Trader to join the team at Schonfeld in Zurich. The ideal candidate will blend rigorous macroeconomic insight with hands-on quantitative trading experience across credit, rates, and related derivatives. You will develop and maintain systematic models, collaborate closely with Portfolio Managers on trade ideas and risk, and leverage your network of sell-side economists and strategists to stay ahead of market trends.

What You’ll Do 

• Design, code, and maintain systematic and semi-systematic trading models spanning corporate bonds, credit ETFs, CDS indices, equity / vol cross-asset overlays and curve-relative value strategies.
• Build data pipelines, back-testing frameworks, and real-time risk / P&L dashboards in Python / C++ for fixed-income and multi-asset products.
• Conduct deep-dive macro research—integrating fundamentals, flow data, and machine-learning techniques—to generate high-conviction trade ideas.
• Produce concise macroeconomic briefs for Portfolio Managers, distilling complex drivers such as global rates cycles, credit spread dynamics, liquidity, and volatility regimes.
• Partner with Technology and Risk to refine execution algos, hedging rules, and portfolio-trading workflows.

What You’ll Bring

• 10+ years’ experience in macroeconomic research, credit volatility trading, and cross-asset systematic strategy design.
• Experience working at global top-tier multi-manager hedge fund and leading sell-side algo / ETF desks.
• Proven track record building and calibrating complex economic / financial models—mean-reversion, momentum, convexity, liquidity, and relative-value frameworks.
• Advanced programming skills: Python, C++, SQL; working knowledge of R / MATLAB and VBA-Excel.
• Work experience in credit indices (CDX / iTraxx), bond / ETF micro-structure, and derivatives greeks / risk.
• Strong written and verbal communication skills—able to translate quantitative outputs into clear investment theses.
• Master’s in Finance from a top-tier university and a Bachelor’s degree in a STEM discipline.
• Passed CFA Level I examination.

Who We Are  
Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 9 countries and 19 offices.

Our Culture
Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all our employees. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive.

#LI-DNI

📍 Zürich, CH (Hybrid)  📅 Start: June 2026

🚀 Help make sustainable investing mainstream!

At Inyova, we’re transforming the way people invest by making impact investing accessible to everyone. Through our platform, people can invest in companies that support causes they care about – from sustainability to gender equity – without compromising returns.

We are looking for a Marketing & Impact Copywriting Intern who is passionate about storytelling, sustainability, and creating engaging content that inspires people to become impact investors. If you thrive in a fast-paced, mission-driven startup environment and want to make a real difference, this role is for you!

🔹 Your role

You will work closely with our Marketing & Impact team to research, write, and create compelling stories about sustainability and responsible investing. Your mission is to engage, educate, and inspire our audience through powerful content we push out through our best-converting channels.

What you’ll work on

✅ Storytelling & content creation – Learn how to craft engaging stories about impact investing, companies in our portfolio, and our active ownership initiatives.
✅ Multi-channel content – Create high-quality articles for Inyova and our partners, blog posts, videos, social media content, and emails that resonate with our community.
✅ Impact research – Get hands-on experience diving into company reports, sustainability data, and market trends to support content creation
✅ Marketing & Impact strategy – Collaborate on key impact campaigns and work across various marketing channels to grow the movement for sustainable investing while building your finance knowledge.
✅ Creative ownership – Bring your ideas to the table and take initiative in a supportive learning environment where your contributions are valued.

🔹 Your profile

What you have

✔️ Excellent communication skills – you write fluently in German and English (native level). This is a must-have requirement.

✔️ A passion for sustainability – you care deeply about making a positive impact. Deep knowledge on sustainability trends is a plus.
✔️ A knack for storytelling – you want to turn complex topics into engaging and accessible content.
✔️ Enthusiasm for content creation – you love great content and can show us with examples of work, academic projects, or a personal blog/social media presence.
✔️ Curiosity & research skills – you love digging into data, reports, and trends to craft compelling stories.
✔️ A proactive, independent work style – you take initiative while being open to feedback and mentorship.
✔️ Studying or recently graduated in Journalism, Sustainability, Business, or a related field – or equivalent practical experience.
✔️ Tech-savviness – comfortable with common office tools (Google Suite, MS Office, LLMs) – but don’t worry, we’ll show you the ropes!.

💡 Bonus: Experience in marketing, social media, or video content creation.

🔹 What we offer

✨ A mission-driven startup experience – help shape the future of impact investing!
✨ Creative freedom & ownership – your ideas and contributions will be valued.
✨ Hands-on coaching & learning opportunities – grow your skills with guidance from our leadership team and content experts.
✨ A fun, collaborative work environment – inspiring colleagues, team events, paid lunch-clubs and a supportive culture.
✨ Attractive compensation package – including commuting cost reimbursement & access to development budget.
✨ Flexible working options – hybrid work from Zürich, CH.
✨ 15 days of paid vacation during the 6 months internship.

👩‍💼 Diversity & inclusion

Women and people from underrepresented backgrounds often hesitate to apply unless they meet 100% of the criteria. If you believe you can make an impact in this role, we encourage you to apply – even if you don’t check every single box.

📌 The details

📍 Workload: 100%
📍 Start Date: June 2026 (6-month internship)
📍 Location:  Zürich, CH (Hybrid)
📍 Salary: CHF 2'500

🚀 Excited to make an impact? Apply now!

Duration: Minimum 6 months; ideally 9–12 months, depending on the candidate’s experience

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 and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

About the Internship

We are offering a research-focused internship aimed at advancing machine learning methods for complex visual understanding tasks. The project centers on deep learning architectures for image-to-sequence modelling, such as Transformers, attention mechanisms, and modern sequence and representation-learning frameworks, to address challenging and highly structured computer vision problems. This project contributes to long-term research efforts aimed at achieving even higher performance, robustness, and generalization in large-scale visual applications.

What you will do

You will work closely with experienced ML researchers and engineers on cutting-edge research at the intersection of computer vision and sequence modeling. Your work will include:

• Designing and experimenting with new ML architectures for structured visual data.
• Evaluating alternative modeling paradigms (e.g., encoder–decoder, hybrid Transformer models, sequence-based representations).
• Investigating techniques for improving robustness, generalization, and multi-view reasoning.
• Running systematic experiments, ablations, and error analyses to validate research hypotheses.

This project provides opportunities for novel model design, extensive experimentation, and scholarly research. You will contribute to long-term innovation in our technology, with potential real-world impact for millions of users. An ideal position for experienced master’s students, PhD collaborations, or candidates preparing for a research career in industry or academia.

Who you are

MSc or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a strong research focus. Candidates should have a solid foundation in machine learning theory, neural networks, and computer vision.

Essential Skills:

• Proficiency in Python and deep learning frameworks such as PyTorch.
• Practical experience designing, training, and evaluating neural networks, including CNNs and Transformer-based architectures.
• Strong analytical and problem-solving abilities, with the capability to interpret experimental results and iterate effectively.
• Familiarity with research best practices, including reproducibility, controlled experiments, and ablation studies.

Desirable Skills:

• Prior research experience in computer vision, pattern recognition, sequence modeling, or image-to-sequence architectures.
• Experience training large-scale models or working with foundation-style architectures.
• Contributions to publications, preprints, or open-source machine learning projects.

Strong communication skills and the ability to work independently in a research-oriented environment.

What We Offer

• We are certified as a “Great Place to Work” in 10 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 center of Tampere

Who We Are

Could your code give 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 and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

“Everybody is welcome here” - Is a celebrated component of our DNA.

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.

Senior Machine Learning Engineer (Computer Vision)

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 and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

About the role

We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art.

If these challenges sound interesting to you, we’d love to hear from you!

What you will do

• Driving and solving semantic document parsing for our customer use cases
• Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging)
• Stay up to date with the latest research in document classification, text recognition and information extraction
• Set direction and identify opportunities to push boundaries of recognition
• Mentoring team members on code quality and engineering practices

Who you are 

You are a senior ML engineer who is passionate about building, shipping, and improving machine learning-powered systems. You have a proven track record of delivering state-of-the-art computer vision systems both on-device and on cloud and firsthand experience bringing them from the prototyping stage to production.

You recognize that software development encompasses both technology and human interaction and feel comfortable working independently or on a team. While you stay on top of the state-of-the-art in CV/ML, you value proven technologies and small increments. You are creative and determined to solve real-world problems by thinking outside the box and making an impact. You thrive on tackling open problems, taking ownership, and effectively overcoming obstacles. You pay attention to details and at the same time are able to take pragmatic shortcuts to reach our goals.

In particular, we are excited to hear from you if the following sounds like you:

• 5+ years of experience solving recognition problems in the industry with a proven track record of launched products
• Fluency in C++ and Python
• Running ML models on mobile devices
• Experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow)
• Skilled in software design, problem-solving, and debugging
• Experience in computer vision systems extracting information from printed documents or experience with fine-tuning of vision-language models is a plus

What we offer

Here are just some of the reasons why people choose to build their career at Scandit: 

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
• Hackathons 
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings 
• Festive/end of year all company celebrations 
• Your birthday off 
• An attractive individual equity plan in a growth company 
• We are certified as a “Great Place to Work” in 7 countries!
• Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London
• Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany
• Specific benefits related to the location you are joining

Who We Are

Scandit enables enterprises and consumers to change the way they interact with everyday objects and augment the physical world with real-time data captured by scanning barcodes and recognizing text, objects, and other visual identifiers using smartphones, tablets, wearables, drones and robots.

Scandit’s mobile data capture platform is built on proprietary computer vision, augmented reality, and machine learning technologies. Companies in industries such as retail, transportation & logistics, manufacturing, and healthcare can use Scandit’s technology to create and power mobile apps for crucial enterprise workflows like mobile point of sale, mobile shopping, self-checkout, inventory management, and proof of delivery.

Many of the world’s most innovative and successful companies are benefiting from Scandit’s enterprise-grade mobile data capture platform, including Sephora, Nissan, DHL, and Levi Strauss & Co.

Scandit was founded by a group of researchers from ETH Zurich and MIT. The company is headquartered in Zurich and is also represented in Boston, London, Warsaw, Tokyo and Tampere. Over the years, our company has evolved into a world-class team of mobile image processing, cloud-computing and “Internet of Things” experts from around the globe and has most recently also opened an office in Tampere, Finland.

“Everybody is welcome here” - Is a celebrated component of our DNA.

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.

#LI-MB1

#engineering

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

JOB PURPOSE

Are you a visionary Paid Search leader with a proven track record of driving tangible revenue and market share growth? Do you thrive on the thrill of the pitch and the satisfaction of expanding client portfolios? We're seeking a dynamic Paid Search leader to ignite our presence in EMEA, transforming our Paid Search discipline into a powerhouse of growth, innovation, people happiness, and client success.

You will serve as a thought leader, shaping a forward-thinking vision for Paid Search across EMEA while driving growth in this service area. You will lead the charge in evolving our Search discipline in a rapidly evolving and disrupting ecosystem. You won't just keep up with Google’s AI shifts; you will proactively integrate generative AI across platforms into our daily operations to redefine what 'performance' looks like in an AI-first world.

You will lead a team of currently 50 across EMEA and give support by removing blockers and ensuring they have access to the right tools and knowledge. Your goal is to empower every consultant/lead, giving them the confidence to deliver high-quality projects and tasks.

WHAT YOU’LL DO:

• Take a strategic lead in the overall performance, profitability, and long-term business growth of our Paid Search discipline across EMEA
• Accelerate and drive the transition from traditional Paid Search management to AI-driven accounts.
• Be a key player in new business efforts, actively engaging in pitches, refining our sales narratives, and collaborating closely with our new business department to secure and expand our client base. 
• Establish the right organisational set-up of the Paid Search teams to ensure quality and performance across EMEA; 
• Drive adoption of the right tech and tooling, alongside ensuring we have a data-led approach across all accounts
• Coach and mentor our Paid Search Leads and empower every consultant to deliver high-impact, business-driven Paid Search projects.
• Make sure the Paid Search team has an innovative mindset and is a first mover in adopting new technology and advertising solutions. Recognized in the industry by winning awards;
• Oversee top Paid Search clients and drive innovation, project growth, and excellence in delivery.
• Spend at least 60% of time on projects or sales initiatives
• Enable and boost x-craft collaboration, bringing our Paid Search activities and offerings closer together with adjacent crafts, such as Content, Data, AI, Organic Search and Social.
• Ensure an agile development of our Paid Search proposition, aligning product-market fit and traction with the right target clients.
• Encourages knowledge sharing and best practices between teams within EMEA.

WHAT YOU BRING:

• Have at least 10 years of experience in Paid Search.
• Are highly autonomous and proactive, demonstrating the ability to own complex projects and make significant decisions with minimal oversight.
• You have a deep curiosity for AI and machine learning. You don't just follow trends; you understand how to apply tools.
• Have a significant focus on business development, a successful track record with pitching, and client relationship management. You genuinely love the sales process.
• Have broader digital marketing knowledge (Social, Display, Content Marketing, Data etc.).
• Have experience with, and gain a lot of energy from, guiding other people and leading leaders.
• Are analytical, flexible, and able to work independently.
• Have great communication skills (verbal and written) and the ability to persuade.
• Are ambitious, results-oriented, and know how to plan and organise.
• Are fluent in English.

WE OFFER
Please note that benefits may vary by location. Feel free to reach out to your recruiter for more details.

• • Hybrid working policy
  • Stay happy and healthy with a contribution to your health through the OpenUp platform, and a multisport programme;
  • A reputation for doing good. DEPT® has been a Certified B Corp® since 2021.
  • Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
  • The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
  • Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

The design space of biomolecules is unimaginably vast — far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Your Mission, should you choose to accept it

• Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design
• Analyze, visualize, and communicate results to support team efforts in improving models and data
• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production
• Work with biologists to collect data for the training and evaluation of generative models of biomolecules
• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models
• Demonstrated track record of implementing, training, improving advanced machine learning models
• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework
• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations

Preferred technical skills

• PhD in AI/ML, computer science, computational biology, physics, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise)
• Strong skills in designing, executing, and documenting machine learning experiments
• Practical experience with modern generative models
• Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration
• Experience with large-scale model training, foundation models, model parallelism, multi-node training
• Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc
• Knowledge of biochemistry, molecular/cell biology, and drug development

Compensation

$200K – $275K + Bonus + Equity

About the Role

As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.

This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.

You'll Thrive in This Role If You

• Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
• Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
• Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
• Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
• Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
• Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
• Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles

What You'll Own

• Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
• CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
• Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
• Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
• AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.

Our tech stack:

We have a modern, cohesive stack that lets us move fast while maintaining quality:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions

What Your Journey Could Look Like

First 30 Days

• Build meaningful relationships with your direct reports and understand their career aspirations
• Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
• Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
• Join the engineering leadership team and understand how we translate product vision into technical reality
• Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are

First 3 Months

• Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
• Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
• Have regular 1:1s with your reports and support them in their growth
• Shape platform strategy alongside the Head of Engineering and CTO
• Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items

6–12 Months

• Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
• Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
• Lead meaningful career development conversations and conduct performance reviews
• Own engineering initiatives that influence how the entire organisation ships software
• Be a trusted partner to product and engineering leadership on technical direction

The Interview Process

1. Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore CI/CD, infrastructure, and scaling aspects based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.

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.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

Revenue Platform is responsible for the systems and data that turn GetYourGuide bookings into accurate, auditable financial outcomes. We own the booking lifecycle and its conversion into accounting-ready financial data; the foundations for financial and payout data; and the tooling/integrations that keep revenue flows correct at scale, including partner tax information (including validation), FX rates, and auditability of financially-impacting modifications.

Our mission is to enable internal, customer-facing product teams to confidently launch and operate new best-in-class experiences for our Travelers. We succeed when Suppliers get paid correctly and on time, and when Finance & Accounting can trust the numbers. We achieve this by providing clear contracts, reliable platforms, and trustworthy data across sensitive financial domains. 

We empower engineers with high autonomy to develop deep domain knowledge and drive solutions, balancing pragmatic and strategic tradeoffs daily. We navigate this complex space together and collaboration is key to our success.

Your mission

• As a Senior Software Engineer on Revenue Platform, your mission is to provide technical leadership across the revenue domain while staying hands-on to deliver the capabilities other teams depend on.
• You will lead initiatives that improve correctness, auditability, and scalability across core money flows for over EUR 1B Revenue, where small changes lead to a great impact.
• Lead domain-level technical direction (architecture, standards, and evolution of core financial primitives), driving alignment across partner teams.
• Build and operate backend services that convert the booking lifecycle into accounting-ready financial data, and power financial + payout data at scale (300M+ financial events per year).
• Deliver and maintain critical financial tooling and integrations, including partner tax info validation, FX rates, and strong auditability of financially-impacting modifications.
• Balance new feature delivery with operational excellence, correctness, and platform health.
• Mentor engineers, contribute to team culture, and elevate the performance standards across the team.

Your toolkit

• 5+ years of software development experience
• Excellent collaboration and team work skills
• Proficiency in Java/Spring and the ability to build features from scratch
• A strong background in designing and implementing scalable service-oriented architectures and a good understanding of design patterns, APIs, and event-driven architecture.
• Experience building and running production services in distributed, cloud, and containerized environments, with modern observability tools
• Be excited to experiment with and leverage AI for productivity 

Extras that give you an edge

• Experience in financial technology or marketplace organisations
• Experience designing for correctness, traceability, and safe change in regulated domains
• Ability to contribute to the frontend codebase

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. 
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply 

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com.

We are an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

#LI-Hybrid 

Snapshot

Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy while managing a growing team. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.

Key responsibilities:

• Partner with Verticals PM, engineering, and UX to develop data-driven product strategies
• Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights
• Develop and implement novel, goal-oriented metrics
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience
• Communicate findings & recommendations to stakeholders, including executives
• Champion data-driven culture by feeding user engagement insights back into models
• Collaborate with the GenAI team on model quality and feature adoption
• Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

About You

In order to set you up for success as a Data Scientist at DeepMind,  we look for the following skills and experience:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.
• 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.

In addition, the following would be an advantage: 

• A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.
• Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.
• Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.
• Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.
• A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.
• A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.

Application deadline: 12pm GMT 28th February 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see ourApplicant and Candidate Privacy Policy.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

About Capco

Capco is a global management and technology consultancy with more than 7’000 employees and 32 offices across the Americas, Europe and Asia Pacific dedicated to the financial services industry. We combine innovative thinking with unrivalled industry knowledge, to offer our clients consulting expertise, complex technology and package integration, transformation delivery and managed services to move their organizations forward. Since 2021 Capco belongs to Wipro, which extends our talent base to more than 230’000 FTEs. We are passionate about helping our clients succeed in an ever-changing industry.

Joining Capco means joining an organization that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can, and we believe that everyone brings something different to the table.

Our Global Insurance Practice is our fastest growing vertical business in Europe. Our multi-region model allows us an understanding of different market maturities and developments, which enables us to take learnings and insight from one insurance market and maximize client outcomes in another.

We are seeking a dynamic and experienced Insurance Consultant to join our Swiss Insurance Practice. The ideal candidate will possess a comprehensive understanding of the insurance value chain and exhibit proficiency in technology and digital solutions. This role requires a blend of entrepreneurial thinking, strategic insight, practical experience, and an ability to drive impactful change in complex environments.

YOUR CAPCO DAY:

• Client Engagement

Reply to RFP’s and collaborate with international and domestic Property & Casualty, Life & Health, and Reinsurance insurance clients to understand their business challenges and opportunities.

Develop and maintain strong relationships with key stakeholders. Actively contribute to providing differentiating services to existing clients as well as new business relationships.

• Consulting and Advisory

Provide business advice across various aspects of the insurance value chain, including Policy Administration, Claims, Underwriting and Distribution.

Analyze business processes and models and recommend improvements to enhance efficiency, reduce costs, increase customer satisfaction, introduce new distribution approaches such as Direct to Consumer, MGA’s or embedded insurance.

• Technology and Digital Transformation

Help our insurance clients modernize their legacy Policy Administration Systems, migrate policies, optimize their operations, automate their processes, move to the cloud, transform their enterprise, improve the customer journey and engagement, accelerate the claims process, improve underwriting, personalize policy pricing, etc.

Drive digital transformation initiatives and support our clients to get value from Big Data, (Gen) AI and Blockchain.

• Project Management

Provide support along all project phases from concept development and requirements analysis to implementation in business and technology.

Ensure projects are delivered on time, within budget, and to the highest quality standards.

• Thought Leadership

Develop and share insights on industry trends and best practices.

Contribute to the firm’s knowledge base through research, white papers, and presentations.

• Collaboration

Build your internal network and work hand-in-hand with our domain experts and insurance experts across all Capco markets to bring the best possible solutions to our clients.

Help to broaden and deepen our expertise by pushing our focus topics and furthering our service offering.

YOUR CAPCO FIT:

• Experience: 5+ years of experience in the insurance or consulting industries with a focus on insurance with a broad understanding of the insurance value chain. The more projects you have been involved in, the better the fit. Deep knowledge in some focus topics such as, accelerated claims, Policy Administration Platforms, intelligent underwriting, policy migrations, are a particular advantage.
• Technology and Digital Knowledge: Understanding of digital and operations transformation in insurance, including familiarity with some InsurTech trends and technologies such as (Gen) AI, Cloud, Architecture, Data, System Integration is a strong advantage.
• Skills:
• ­Excellent analytical and problem-solving skills.
• ­Proficiency in English and German; French is a plus.
• ­Outstanding communication, presentation, and interpersonal skills.
• ­Ability to work collaboratively in a team environment.
• ­Project management capabilities are a plus.

WHY JOIN CAPCO:

• Innovative Environment: Opportunity to be part of an innovative team driving change within the insurance industry. Exciting projects and the chance to work with cutting-edge technologies and methodologies.
• Professional Growth: Opportunities for continuous learning and professional development to enhance your skills and advance your career.
• Dynamic and Collaborative Culture: Be part of a diverse, inclusive, and collaborative culture.
• Competitive compensation package: Comprehensive benefits and a supportive work environment.

Ready to take the Next Step?

If this sounds like you, we would love to hear from you.  This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory.

At Inceptive, you will drive research forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

If our team of scientists, deep learning researchers, engineers, and entrepreneurs sounds like home to you, please tell us what you would contribute in your application.

We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations

Please note that our Open Apply is global and you may apply from any location.

Qualifications

• Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations

Compensation

$105K – $240K + Bonus + Equity