Basis is looking to solve intractable problems by understanding and building intelligence, and advancing society's ability to solve complex problems. This role specifically contributes to studying collaborative intelligent systems in the wild, focusing on social species coordination, communication, and adaptation.
Requirements
- Possess excellent programming and software engineering skills, especially in Python, Julia, C++, ML-family languages.
- Have demonstrated the ability to drive software projects from start to finish.
- Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML.
- You've implemented variants of newly published techniques from scratch.
- You build systems and workflows for training large models distributed across many machines.
- You've built systems that span all levels of the programming stack from high-level API infrastructure to close-to-the-metal code.
- Building data dashboards
- Multimodal data infrastructure
- Data science, data analysis pipelines
- Data processing and tracking
- Computer vision/audition
Responsibilities
- Translate research ideas into correct, robust, and scalable high-quality code.
- Engage in programming language design/implementation.
- Performance engineering, scaling research code.
- Algorithm development.
- Contribute to the culture and direction of Basis.
- (Optionally) Publish and present findings in journals and conferences.
- Contribute to data analysis, modeling, or field data collection for our “behavioral weather station” network monitoring social species across cities.
Other
- Progress with a high degree of autonomy and under uncertainty.
- Be enthusiastic about solving real-world problems and making a positive societal impact.
- Basis is a collaborative endeavor, both internally and with our external partners; we seek individuals who relish working with others on challenges larger than those they can tackle alone.
- Be prepared to attend multi-day Basis-wide in-person events.
- This is a full-time position
