Research Engineer, Collaborative Systems

Position: Research Engineer, Collaborative Intelligent Systems

Research Engineer, Collaborative Intelligent Systems

Basis Research Institute is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence
—establishing the mathematical principles of reasoning, learning, decision‑making, understanding, and explanation, and building software that implements these principles. The second is to advance society’s ability to solve intractable problems
—expanding the scale, complexity, and breadth of problems we can solve today and accelerating our ability to solve problems in the future.

About the Role

Research engineers support Basis’ mission by translating research ideas into correct, robust, and scalable high‑quality code. We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to conduct rigorous, high‑quality, robust science, unafraid to tinker, make mistakes, and explore radically different ideas. Basis is a collaborative endeavor, both internally and with external partners; we seek individuals who relish working with others on challenges larger than those they can tackle alone.

Research

Focus

We study collaborative intelligent systems in the wild, focusing on how social species coordinate, communicate, and adapt in complex environments. Our work spans multiple levels of behavior, from fine‑grained group foraging and navigation decisions to city‑scale ecological and evolutionary dynamics. Using multimodal data (audio, video, environmental, and genetic), we develop probabilistic and dynamical systems models that investigate how communication and cooperation shape resilience in changing ecosystems.

The engineer will contribute to data analysis, modeling, or field data collection for our "behavioral weather station" network monitoring social species across cities.

Who We’re Looking For

• Possess excellent programming and software engineering skills, especially in Python, Julia, C++, and ML‑family languages.
• Have demonstrated the ability to drive software projects from start to finish. This could be evidenced by open‑source projects, technical reports, and publications.
• Be comfortable digesting research from PL and/or ML venues, such as PLDI, POPL, NeurIPS, or ICML.
• Progress with a high degree of autonomy and under uncertainty.
• Be enthusiastic about solving real‑world problems and making a positive societal impact.
• Have demonstrated significant technical achievements within ML engineering. Examples include:
  • Implemented variants of newly published techniques from scratch.
  • Built systems and workflows for training large models distributed across many machines.
  • Built systems that span all levels of the programming stack from high‑level API infrastructure to close‑to‑the‑metal code.

In Addition, Experience in the Following Areas Would Be an Advantage

• Building data dashboards
• Multimodal data infrastructure
• Data science, data analysis pipelines
• Data processing and tracking
• Computer vision / audition

Core Responsibilities

• Translate research ideas into correct, robust, and scalable high‑quality code.
• Engage in programming language design/implementation.
• Performance engineering and scaling research code.
• Algorithm development.
• Contribute to the culture and direction of Basis.
• (Optionally) Publish and present findings in journals and conferences.

Role Details

• Full‑time position.
• Location:
  
  In‑person in Cambridge, MA or New York City, with a preference for Cambridge. Expected travel to Basis‑wide events every six to eight weeks, funded by Basis.
• Salary range: $120,000 – $180,000 per year.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industry

Non‑profit Organizations

Pay Range

Base pay range: $120,000 – $180,000 per year

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