Computer Vision Intern
Listed on 2025-12-02
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
What if you could help millions of people use a tool that has a real impact on their everyday life? That’s the opportunity with Envision’s small but passionate team. We empower people who are blind or have low vision to access everyday visual information for themselves. Because it isn’t just information. It’s knowledge, independence, and possibility.
The ProductEnvision products articulate visual information into speech. The Envision App is free for everyone — It uses your smartphone’s camera to speak out written information, describes surroundings and objects, and even tells you who’s nearby. Excelling in all kinds of text and object recognition, Envision can read the text in over 60 languages. Be it handwritten notes, text on food packages, or the pages of an entire book.
Our Envision Glasses meanwhile brings our award-winning software to smart glasses, enabling the unprecedented experience of unobtrusive access to the visual world. With features ranging from real-time text recognition, to voice controls and even hands-free video calling, Envision Glasses open the door for the future of wearable assistive technology.
The roleOur Envision app and glasses are growing bigger and bigger by the day. Which means we now have the ability to impact so many more, if we build our tools the right way. We are looking for teammates who will join us on this journey to code, to build, to impact and have fun while doing it.
What you will do:
- Join the Computer Vision team in building features assisting visually impaired people through our smart glasses.
- Polish existing features of our app & Glasses and work towards further improving the performance and reliability of the app.
- Bring a different and unique perspective of solving our many vision based problems.
- This role requires minimum of 3 months duration
- Self-motivated, passionate, reliable and driven.
- Knowledge of computer vision and machine learning techniques
- Experience with relevant programming languages such as Python or C++
- Familiarity with deep learning frameworks such as Tensor Flow or Py Torch
- Strong analytical skills and experience working with large datasets
- Hands on attitude when it comes down to building, cleaning and processing datasets
- Interest in NLP and LLM’s.
- Willingness to work with C++
- Good grasp of statistics and basics of data science
- Excellent communication and collaboration skills
- Be part of a diverse, award-winning team: we are a team of 30 (and growing!) diverse dreamers, doers and tinkerers based at The Hague Tech in The Hague, the Netherlands. Outside of work, we love to have deep discussions about food, tech and everything under the sun. We won the Google Play Award 2019 for the Best Accessibility Experience, won the Computable award and were nominated for Apple Vis Hall of Fame 2019.
- Have a global impact at scale: we are a young company, but we have a global impact. We have users in 200+countries and we aim to be as inclusive as possible.
- Sell products that people love, that solves real problems: our greatest source of inspiration and motivation are our users who love our products which truly enable them to be independent in their everyday lives. We are pioneering real-life applications of technologies like AI for good.
- Gain new skills fast: because we are a close-knit team of domain masters, we are always learning from each other in order to work more synchronously. Your mind, abilities, and product sense will expand every day.
- We take care of you: competitive compensation package and target-based incentives while covering the cost for travel and relocation if needed!
- 45-minute Screening call diving into your previous projects
- Joining the team 🎉
Sound like a good fit for you? Please email us at and include:
- This role's title in your subject line, it'll help us to sort through the emails.
- Send your resume and any links that best showcase relevant projects you have built and done. For instance, your portfolio, Linked In, Github or writing samples.
- Keep it short and sweet.
Sounds like a good fit for you? We have a short form to fill out for you. The form will request some basic information about you and will consist of a short simple test. Please fill out this form to apply: (Use the "Apply for this Job" box below)./ev3pco7fJGkoxvc
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