About the Job

We are looking for an experienced AI engineer/data scientist who is interested in growing and organizing a developer community around our open-source project SuperDuperDB.

SuperDuperDB has the potential to disrupt how AI is developed and implemented - and to become the new standard for doing AI with your data. The position is the opportunity to build SuperDuperDB and its community from the ground up.

We are a small team of absolute experts, growing quickly. Our company is backed by a couple of VCs including MongoDB.

Our open-source environment (https://github.com/SuperDuperDB/superduperdb) enables developers to easily implement next-generation AI models and applications on top of your existing data store - from LLMs, and public APIs to custom high-performance in-house machine learning models. It transforms your favourite data store into a vector database, feature store, model repository, performance monitor and end-to-end live AI deployment including model training and computation of outputs all at once!

A record of content creation and work around open-source Python projects in AI/ ML/ Data would be very attractive to us. You can be fully remote, or work at our Berlin office. Salary is competitive incl. stock options and the existing small team is first-class.

Job Responsibilities

• Identify, develop and implement exciting and relevant applications and use cases that showcase why and how SuperDuperDB is super duper.
• Present your work in various content forms such as notebooks, technical talks, tutorials, blog posts, demos, videos, podcasts etc. including technical documentation.
• Initiate and handle partnerships and projects with other relevant (open-source) projects, companies, foundations, initiatives etc.
• Organise events and challenges for fostering upstream contributions from our users.
• Take care of external communications via social media, and connect with other AI evangelists there.
• Moderate and lead the conversation within the SuperDuperDB open-source community to identify user needs.

Skills & Experience

• In-depth experience building and applying AI, machine learning, data science, and MLOps
• Several years of professional Python coding experience
• Knowledge of the scientific Python ecosystem including Pandas, PyTorch, Scikit-Learn, Numpy, Tensorflow etc.
• Knowledge of and experience with popular databases, including SQL-based RDBMS, MongoDB and others
• A solid list of content pieces around AI
• Good understanding of developer and open-source communities and how to grow and engage with them
• Very good written and verbal communication skills
• At ease with public speaking and presenting at conferences and meetups
• Nice to have: Visible contributions to starred, active open-source GitHub projects

Job Benefits

• High-impact work with other highly-talented and skilled team members
• Stock options
• The choice between fully remote work and hybrid

We would be happy to hear from you. Please send whatever you think is necessary including your GitHub and LinkedIn profile, a few words about yourself, as well as your salary expectation and earliest starting date.