Research Engineer, Operations

About this role

Basis seeks a Research Engineer to build internal tools and automation systems that enhance researcher productivity and operational efficiency at a nonprofit AI research organization. You'll develop LLM-powered automation, analytics infrastructure, and researcher-focused productivity tools that enable the organization to scale without manual overhead.

What you'll do

• Build researcher productivity tools including experiment tracking, literature automation, and computational environment management
• Develop GTM and business operations automation for CRM systems, proposal generation, and customer workflows
• Create analytics and measurement infrastructure for research progress and strategic decision-making
• Automate operational processes including recruiting, marketing, and cross-functional coordination
• Identify and implement high-leverage automation opportunities across research and operational workflows
• Iterate on internal tools based on user feedback to maximize adoption and impact

What they're looking for

• Programming expertise in Julia, Python, C++, or ML-family languages
• LLM-powered automation using OpenAI, Anthropic Claude, LangChain, or similar frameworks
• ML engineering with experience implementing published techniques and distributed model training
• Software engineering to drive projects from conception to completion
• Research workflow understanding from academic or research environments
• User-centric design and iterative tool development
• Full-stack programming from high-level APIs to low-level systems code
• Ability to learn research literature from PL and ML venues independently