Help us make SuperDuperDB greater than it already is, enabling developers to build AI (apps) with their existing data infrastructure, without needing to move data through intricate pipelines.

SuperDuperDB, a solidly funded startup, is looking for an experienced machine learning & Python engineer who knows the core machine learning and AI algorithms inside and out, has applied these to data in the field, and has also deployed these to production. The candidate we are looking for should have serious experience developing production-grade Python.

We are a small team, growing quickly, of absolute experts who are building an open-source system to effortlessly integrate AI and databases. 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.

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 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.

Tasks

  • Contributing to the project’s open-source codebase by writing high-quality Python code and adhering to coding standards and best practices.
  • Identify, develop and implement exciting and relevant applications and use cases that show why and how SuperDuperDB leads to great gains in AI development, training and deployment. (Optionally present your work in various content forms such as notebooks, technical talks, tutorials, blog posts, demos, videos, podcasts etc.)
  • Collaborating with other developers and the open-source community, participating in code reviews, and providing feedback and suggestions to improve the project.
  • Staying up-to-date with the latest trends and developments in Python and related technologies, and sharing knowledge and insights with the rest of the team.

Requirements

  • In-depth experience building and applying AI, machine learning, data science, and MLOps
  • Proficiency in Python and other relevant languages
  • 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
  • Good understanding of developer and open-source communities
  • Very good written and verbal communication skills
  • Nice to have: Visible contributions to starred, active open-source GitHub projects

Benefits

  • High-impact work with other highly-talented and skilled team members
  • Competitive salary and 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.

Verschlagwortet als: Data Science, Python

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