Frontend Engineer

Location Autopoiesis Sciences is headquartered in San Francisco, with a growing engineering team in Toronto. This is a fully remote position for candidates based in the Greater Toronto Area. Areas of Focus High-performance, responsive interfaces for complex AI interactions Real-time data visualization and scientific workflow presentation Cross-platform user experiences that feel native and intuitive Component architecture for rapidly evolving product requirements Accessibility and internationalization at scale Performance optimization for data-intensive applications Design system development and implementation About the Role Autopoiesis Sciences is seeking exceptional Frontend Engineers to help build the interfaces through which researchers will interact with our AI systems. As a Frontend Engineer, you will craft the experiences that translate complex scientific AI capabilities into intuitive, powerful tools for the research community. You\'ll build interfaces that surface AI-generated hypotheses, visualize experimental results, and enable researchers to collaborate with our systems in ways that amplify human scientific intuition. While our AI systems do the heavy lifting of scientific reasoning, the interface is where discovery becomes tangible. You\'ll work on products that need to communicate uncertainty, present multi-dimensional data, and support workflows that don\'t yet exist in any established playbook. This role offers the opportunity to define what human-AI collaboration looks like in scientific research, building experiences that will be used by researchers pushing the boundaries of their fields. Responsibilities Design and implement performant, accessible user interfaces using modern React and TypeScript Build cross-platform experiences that maintain consistency and quality across devices and contexts Develop component libraries and design systems that scale with rapidly evolving product requirements Create data visualization solutions for complex scientific information, including uncertainty quantification and multi-dimensional results Optimize application performance for real-time AI interactions and large dataset rendering Collaborate closely with designers to translate research workflows into intuitive user experience Work with ML engineers to design frontend architectures that integrate seamlessly with AI backend systems Implement robust state management patterns for complex, asynchronous AI-driven workflows Build testing infrastructure and maintain high code quality standards across the frontend codebase Contribute to technical decisions around tooling, architecture, and development practices Qualifications Bachelor\'s degree or higher in Computer Science, Software Engineering, or a related technical field 2-3 years of experience in frontend engineering (internships, research positions, or industry experience) Strong programming skills in TypeScript and deep experience with React Demonstrated expertise in modern frontend architecture patterns, state management, and component design Experience building responsive, cross-platform applications that perform well across different environments Solid understanding of web performance optimization, including rendering strategies, bundle optimization, and runtime performance Strong grasp of accessibility standards and best practices for inclusive design Proven ability to translate complex requirements into clean, maintainable code Experience with modern build tools, testing frameworks, and CI/CD practices Bonus: Experience with data visualization libraries (D3, Visx, etc.), scientific or research-oriented applications, real-time collaborative interfaces, native mobile development, or design system creation Compensation and Benefits Competitive compensation, equity, and benefits Collaborate in building a thoughtful, mission-driven team culture focused on scientific discovery Frequent team events, dinners, off-sites, and gatherings Compensation packages are highly variable based on experience, expertise, and contribution potential Get To Know Us We\'re a dedicated team of scientists, researchers, and engineers who believe deeply in the transformative potential of our work. You\'ll work closely with our leadership team including Chief Executive Officer Joseph Reth (Attended University for CS at 14, former DARPA), Chief Business Officer Dr. Eike Gerhardt (University of Tübingen PhD, University of Tübingen staff), and Chief Scientist Dr. Larry Callahan (University of Chicago PhD, former FDA, former NIH). Application Process Due to the high volume of automated applications, we only accept applications through LinkedIn as it helps us connect with genuine candidates. We have systems in place to detect automated submissions and strongly advise against using bots or automated tools in your application process. Please be human in your approach. Equal Opportunity Autopoiesis Sciences, Inc. is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or any other legally protected characteristics. #J-18808-Ljbffr