Basis Research Institute ยท 1 month ago
Research Engineer, Platform
Basis is a nonprofit applied AI research organization focused on understanding and building intelligence while advancing society's ability to solve complex problems. The Research Engineer role involves advancing research methods, developing core technology modules, and ensuring impactful research through collaboration and robust software implementations.
Artificial Intelligence (AI)CharityDatabaseInformation TechnologyNon Profit
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
Ensure research has path to impact whether through commercial deployment, open-source release, academic publication, or transfer to other projects within Basis portfolio
(Optionally) Publish and present findings in journals and conferences to contribute to broader research community and establish Basis thought leadership
Contribute to the culture and direction of Basis by modeling excellence at the intersection of research and engineering, rigorous thinking about foundations, and commitment to building tools that advance societal capability
Qualification
Required
Demonstrated ability to conduct research that is of high quality
Publications at top-tier conferences (NeurIPS, ICML, ICLR, POPL, PLDI, OOPSLA)
Technical reports or preprints showing novel research contributions
Open-source research projects with significant adoption or citations
Demonstrated ability to drive software projects from start to finish
Research code released as production-quality libraries or frameworks
Contributions to major open-source projects (PyTorch, TensorFlow, JAX, or equivalents)
Systems built that span research prototypes through deployable implementations
Possess deep knowledge of relevant technical areas including probabilistic programming, causal inference, program synthesis, neural architectures, or related fields central to Basis research directions
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
Understand paths from research to impact
Value software quality and reusability
Progress with autonomy and intellectual curiosity
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
Preferred
PhD in Computer Science, Machine Learning, Statistics, or related field with publications at top-tier venues
Experience at research organizations that successfully productionized innovations (Bell Labs, PARC, Microsoft Research, Google Research, Meta FAIR, DeepMind)
Contributions to widely-used research libraries or frameworks
Background spanning multiple areas (ML + PL, causal inference + probabilistic programming, theory + systems)
Experience with Bayesian methods, probabilistic programming languages, or causal modeling
Track record of research that influenced commercial products or open-source ecosystems
Company
Basis Research Institute
Basis is a nonprofit applied research organization with two mutually reinforcing goals. The first is to understand and build intelligence.
H1B Sponsorship
Basis Research Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2022 (5)
2020 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase