Machine Learning / AI Application Engineer - Internship

Salary Competitive

Ecobloom is a Stockholm-based startup within the area of smart indoor farming. We bring nature closer to people by empowering them to grow their own food in a fun and interactive way. By combining an ancient growing method with modern technology, we hope to revolutionize the way we grow food. We are a small team with a shared vision to help create a better and more sustainable place for future generations. And we look for like-minded people who share the same goal. Is that you?

Who you are

A person who bring fresh ideas from all areas, including artificial intelligence, networking and data storage, natural language processing, etc; the list goes on and is growing every day. You are someone who is curious about the potential of AI and how it can be used to improve the world we live in.

It is equally important for us that you also thrive and learn new things. Being part of a diverse team gives you the opportunity to broaden your horizons and learn something new every day!

Essential Qualifications

  • MS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related technical field.

  • Proficiency in Machine Learning (e.g., tools, preparing training sets or train classifiers).

  • Proficiency in Computer Vision

  • Knowledgable about electronics development and sensory systems

  • Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.

  • Experience with one or more of the following: natural language processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.

Desired Qualifications

  • Work or educational experience in Machine Learning or Artificial Intelligence.

  • Experience in querying databases (e.g., SQL, MySQL, MapReduce or Hadoop) and statistical analysis (e.g., R, Stata, SPSS or SAS).

  • Knowledge in robotics/electronics is a great bonus.

  • Ability to draw inferences, quantify uncertainty/risk and recommend actions.

  • Experience in a quantitative discipline (e.g. statistics, bioinformatics, computational biology, computer science, applied mathematics, or similar) or equivalent practical experience.

  • Experience in translating analysis results into business recommendations.

  • Software R&D experience evidenced by publications, conference presentations, or GitHub contributions

For more information or questions please contact us at

Perks and benefits

This job comes with several perks and benefits

Free lunch
Free lunch

Enjoy a free catered lunch with your colleagues, every day.

Flexible working hours
Flexible working hours

Time is precious. Make it count. Morning person or night owl, this job is for you.

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Free office snacks
Free office snacks

Peckish after lunch? We got your back with soft drinks, treats and fruit.

See all 11 benefits

Working at

Our mission is to empower people to grow their own fresh and organic food more locally in a sustainable and resource efficient way. And we do this by creating the next generation smart indoor farms, where users can grow food right on their kitchen counter while being able to monitor and control their miniature greenhouse from the same room, or across the globe, through the push of a button. Join us and be part of a growing revolution! Shoot us an email at We are a group of friends and dreamers who share the same vision and goal. A mission to help change the world for the better. Every day is unlike the other, and we work hard to achieve our goals - while also combining some pleasure with work!

Read more about Ecobloom

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