GenBio AI
Engineering
SoftwareEngineeringIntern
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineering Intern at GenBio AI. Skills: Full-stack development, Frontend development, Backend services, AI/ML integration. Build full-stack applications. Scale full-stack applications”
What You'll Achieve.
Generate real-world impact
Industry & Context.
Debugging complex issues
What They're Looking For.
Must Have
Master's or Ph. D program enrollment, Exceptional software engineering fundamentals, Deep understanding of data structures, Deep understanding of algorithms, Deep understanding of modular system design, Excellent modern frontend development skills, Fluent in React, Fluent in TypeScript, Solid hands-on backend architecture experience, Experience with FastAPI or similar, Scalable Python-based backend services experience, Highly adaptable mentality, Ability to work independently, Ability to manage ambiguity, Ability to thrive in fast-paced environment, Ability to thrive in highly collaborative environment, Satisfaction from building reliable full-stack software, Satisfaction from debugging complex issues, Satisfaction from improving end-user experience
Nice to Have
Hands-on Kubernetes experience, Familiarity with application instrumentation, Practical knowledge of logging implementation, Practical knowledge of metrics collection implementation, Practical knowledge of tracing implementation, Familiarity with advanced observability tooling, Familiarity with telemetry tooling, Familiarity with monitoring tooling, Demonstrated passion for software development, Active open-source contributions, Robust personal side projects, Previous impactful software engineering internships
What You'll Do.
Build full-stack applications
Scale full-stack applications
Take end-to-end ownership
Develop seamless frontend user interfaces
Develop interactive frontend user interfaces
Architect backend services
Design scalable backend systems
Deploy scalable backend systems
Set up robust RESTful APIs
Connect relational databases
Connect NoSQL databases
Manage end-to-end CRUD operations
Implement core observability practices
Implement structured logging
Implement distributed tracing
Implement system metrics
Ensure applications are performant
Ensure applications are reliable
Ensure applications are easy to debug
Integrate foundation models
Integrate models into web platforms
Push projects forward
Generate real-world impact
How You'll Work.
Team & Collaboration
Small, fast-moving team; Work closely with researchers; Work closely with biologists; Highly collaborative environment
Process & Methodology
End-to-end ownership
Full Job Description
## Description GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life. This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi. ## Responsibilities Collaborate with a small, fast-moving team to build and scale the full-stack applications that interface directly with our proprietary models. Take end-to-end ownership of software projects, with a strong emphasis on developing seamless, interactive frontend user interfaces while also architecting the backend services to support them. Design and deploy scalable backend systems, including setting up robust RESTful APIs, connecting relational or NoSQL databases, and managing end-to-end CRUD operations. Implement core observability practices such as structured logging, distributed tracing, and system metrics to ensure all applications are performant, reliable, and easy to debug. Work closely with AI/machine learning researchers and computational biologists to integrate GenBio AI’s state-of-the-art foundation models into functional, user-facing web platforms. Act as a proactive self-starter, independently pushing projects forward from conception to deployment to drive our engineering agenda and generate real-world impact. ## Qualifications Currently enrolled in a full-time Master's or Ph.D program in Computer Science,
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