Codex
AI
SoftwareEngineer,CoreScience
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer, Core Science at Codex. Skills: AI, backend engineering, full-stack engineering, scientific research. Shape the future of AI-powered scientific research. build backend systems”
What You'll Achieve.
help researchers move faster; accelerate breakthroughs; accelerate scientific discovery
Industry & Context.
turning ambitious, ambiguous ideas into reliable products; turning complex, underspecified problems into opinionated systems
3 days in the office per week, relocation assistance
What They're Looking For.
Must Have
backend or full-stack engineering fundamentals, experience taking complex product ideas from prototype to reliable production systems, attention to performance, usability, and maintainability, comfortable building in highly ambiguous 0 → 1 environments, excited about applying AI systems to consequential real-world scientific problems, care about building tools that improve how researchers reason, analyze evidence, collaborate, and make discoveries, experience building scalable distributed systems, experience building developer platforms, experience building data-intensive applications, experience building retrieval or knowledge systems, experience building workflow tools, experience building model-powered product experiences, care deeply about product quality, iteration speed, and user impact, use feedback from researchers and domain experts to rapidly improve systems, maintain scientific and technical trustworthiness, communicate clearly across engineering, research, product, and domain-specialist audiences, enjoy turning complex, underspecified problems into opinionated systems
Nice to Have
curious about scientific workflows and domains such as computational biology, biology, chemistry, biomedical research, scientific literature, or research tooling, motivated to learn from experts in these areas
What You'll Do.
Shape the future of AI-powered scientific research
build backend systems
build full-stack product experiences
Develop AI-native workflows
design systems that can work across complex technical content
Partner closely with researchers and domain experts
understand real research workflows
identify high-leverage opportunities for AI
translate ambiguous scientific needs into useful
trustworthy product capabilities
Build AI-powered tools for scientific data analysis
Build AI-powered tools for simulation
help researchers explore complex datasets
design and run computational experiments
iterate on models or hypotheses more efficiently
Help establish the product
and engineering foundations
balancing rapid experimentation with rigor
balancing rapid experimentation with reliability
balancing rapid experimentation with quality
How You'll Work.
Team & Collaboration
work closely with researchers; work closely with applied scientists; work closely with product teams; Partner closely with researchers and domain experts; communicate clearly across engineering, research, product, and domain-specialist audiences
Communication Scope
Communicate clearly across engineering, research, product, and domain-specialist audiences
Full Job Description
About the Team The Core Science team is a new vertical within Codex focused on making AI an exceptional collaborator for scientific discovery. The team is building AI-native tooling and infrastructure for scientists across paper writing, literature search, data analysis, simulations, and computational experimentation. Our mission is to help researchers move faster — accelerate breakthroughs in math, physics, biology, chemistry, bioengineering, and adjacent scientific domains through powerful AI-assisted workflows. About the Role As a Software Engineer, Core Science, you will help design and build the platforms, products, and infrastructure powering AI-native scientific research workflows inside Codex. We’re looking for people who are excited about building ambitious 0→1 systems at the intersection of AI, engineering, and scientific discovery. This role spans both backend and full-stack engineering, with opportunities to work closely with researchers, applied scientists, and product teams to define entirely new experiences for scientific exploration and experimentation. This role owns systems end-to-end: from architecture and implementation to evaluation, launch, and production operations, with a strong bias for both quality and velocity. You will build across backend services, data and orchestration pipelines, model-powered workflows, and user-facing experiences, making thoughtful trade-offs as scientific use cases and AI capabilities rapidly evolve. Success in this role means turning ambitious, ambiguous ideas into reliable products that researchers can use to analyze data, run simulations, explore evidence, and accelerate scientific discovery. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Shape the future of AI-powered scientific research by building backend systems and full-stack product experiences across Prism and Codex - Develop AI
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