Do you like solving tricky problems? Do you want to do that in an engineering-friendly environment, so you can move quickly? Do you want to work on a product that you care about? Do you think machine learning is fascinating?
Your key responsibility is to build and maintain our backend services.
In this role you will take care of software design and implementation in Python. You will build APIs to access our MongoDB database and you will keep track of your work on GitHub. You will support the team in distributed system architecture, and take care of system stability and performance from developer standpoint.
Knowledge of Docker and Bash, and experience in distributed system design and troubleshooting is helpful.
We will appreciate an agile work style and interest in machine learning.
We are flexible on your level of job experience.
Tech Stack: Python, GCP, MongoDB, API, Github, Docker, Bash
We are a new, well-funded, and quickly growing startup that is building a new product category: AI meeting assistants. You know those bad meetings, too, right? We want to fix this.
We get a lot done quickly: it took us just 15 weeks to bring our first product to customers. We have a clean architecture, continuously work on our tech debt, and maintain a good tech stack. We care about clear requirements, so you have all the autonomy necessary for finding great solutions. We want you to design and build the work environment that works best for you.
We have a clear purpose that will have a positive impact on the well-being of millions of people. We have a strong focus on product, you always know why you are doing something.
We are a remote-first company, with all of our team currently based in Berlin. We enjoy team lunches & park outings together and would encourage you to join us! Verbally is our opportunity to build the company we want to work in. We want you to shape this company and our culture!
We are a small, friendly, and very experienced team (e.g. from Zalando, N26, HappyCar, Trade Republic). We have a track record of building machine learning products at scale. We help each other achieve more than we could achieve alone. You will learn a lot!
Happy to tell you all the details if you drop us a line!
Have we tickled your interest? Please get in touch with us at [email protected]. Your LinkedIn or CV, or some code examples are a good starting point. Looking forward to hearing from you!