Full-Stack Developer (React & Python)

Why become a “Mobian”?

AI is the future, and we are going to be a big part of that. Mobius Labs is a deep tech company that builds machine learning software to power applications for global enterprises. Our product adds value to millions of people but is built by a select few highly talented individuals. These Mobians form the heart and core of our organization. Based in Berlin, we currently have 40 people coming from 25 nationalities and are expanding rapidly.

The Mobius Vision™ SDK is our cutting-edge platform to deploy and train advanced machine-learning models for imagery, video, face recognition, and more - all in a low-code, on-premise solution you can use with any programming language. The Feature Showcase is a no-code add-on to train, deploy and run machine learning models - by anyone who can use a mouse. We love it so much we also use it as our product demo - check it out!

What you would do as Full-Stack Developer:

As a Full-stack Developer, you will work with other engineers as well as our scientists and our product team to make Superhuman Vision available to everyone - developers and lay users alike. Your mission will be to make this functionality even more accessible to lay users so that anyone who can use a mouse can train, deploy, and run machine learning models.

• Create easy to use web interfaces and APIs that leverage the cutting edge models and functionality of our SDK.
• Build out new features and new workflows as we take AI for everyone to new markets.
• Developing internal tooling to help our product, support, marketing, and science teams deliver value even faster.
   

Requirements

• At least 5 years experience as a full-stack software engineer working on complex applications with substantial business logic.
• Frontend experience with React, ideally also Redux, Redux Saga, and MaterialUI.
• Backend experience using Python with modern web frameworks.
• Knowledge of SQL (Postgres) and NoSQL (Redis, MongoDB) databases.
• Experience using Docker to build and deploy complex applications.
• Strong skills of fundamental technologies (HTTP, REST/gRPC, HTML/CSS/JSON, web server configuration).
• Experience with cloud platforms (GCP/AWS/Azure) as a deployment target.
• Experience with automated deployments and continuous integration.
• Feeling at home in Linux.
• Fluency in English.
• Experience with computer vision and machine learning libraries and frameworks such as OpenCV, TensorFlow, and PyTorch is an advantage, especially if you have experience making them do things they were never intended to.
   

Benefits

• The basics: Competitive salary, 30 annual vacation days, and flexible working hours.
• Remote first: We support a remote-first culture, and allow our teams to work from wherever they like (time-zones allowing)! All meetings and processes are designed to be inclusive.
• Flexible benefits: Lifestyle, health & wellness, education, travel - choose the benefits that mean most to you with a monthly perks budget from Heyday.
• Ethical employer: Every team member has the opportunity to identify a charity of their choosing, towards which Mobius Labs will make monthly contributions.
• HQ: Office in the heart of Berlin, built into a converted printing warehouse from the 1800’s, for those who prefer to work on-site -- with free coffee, beverages, and beers of course!
• Good times: Global off-site events, where we get the entire company together for team building, socializing, and having fun in exciting places.
• 👁: Customized, personal avatars to concrete your identity as a true “Mobian,” designed to accompany your internal and external communications.
• Gear: Laptop of your choice and everything else you need to work effectively.
   

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If you tick off most of the requirements mentioned above, and can see yourself becoming a Mobian, then we’d love to hear from you!

Mobius Labs is an equal opportunity employer. We value different personal backgrounds, perspectives and experiences, and encourage you to apply no matter who you are, where you’re from or what you choose to identify as.