Basis is looking to solve intractable problems by advancing society's ability to solve complex challenges through applied AI research. The Research Engineer will contribute to building the core technology modules and research-driven capabilities for commercial platform offerings, ensuring research advances have clear paths to impact.
Requirements
- Possess deep knowledge of relevant technical areas including probabilistic programming, causal inference, program synthesis, neural architectures, or related fields central to Basis research directions.
- Be proficient in research engineering tools including Python, PyTorch/JAX, version control, testing frameworks, documentation systems, and software engineering practices that make research code maintainable and extensible.
- Value software quality and reusability. You design modules that others can build on, write comprehensive documentation and tests, and architect systems that remain coherent as they evolve.
- Progress with autonomy and intellectual curiosity. You can identify valuable research directions, design experiments, implement solutions, and evaluate results without extensive direction.
- Experience with Bayesian methods, probabilistic programming languages, or causal modeling.
- Background spanning multiple areas (ML + PL, causal inference + probabilistic programming, theory + systems).
- Contributions to widely-used research libraries or frameworks.
Responsibilities
- Advance research methods in areas aligned with Basis mission including probabilistic programming, causal inference, reasoning under uncertainty, program synthesis, and foundations of machine learning.
- Build Basis core technology modules producing fundamental algorithmic components that provide reusable capabilities across multiple projects and applications.
- Package research into production-ready code by translating experimental techniques into robust implementations with comprehensive documentation, tests, and examples that enable others to build on your work.
- Contribute to Platform development by developing research-driven capabilities that enhance commercial offerings, integrating novel techniques into platform APIs and features.
- Identify high-value research problems by staying connected to research frontiers, understanding commercial and societal needs, and recognizing opportunities where Basis capabilities can make significant impact.
- Develop new project concepts from ideation through concrete vision, scoping research questions, defining technical approaches, and creating compelling cases for new initiatives.
- Collaborate across research and engineering teams to ensure research advances integrate smoothly with platform infrastructure and that engineering constraints inform research directions.
Other
- Have demonstrated ability to conduct research that is of high quality.
- Have demonstrated ability to drive software projects from start to finish.
- Understand paths from research to impact.
- Be excited about solving real-world problems and having positive societal impact through research that advances our understanding of intelligence and our ability to tackle intractable challenges.
- We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
