Found.dev
Role Highlights
Languages used
JavaScript
TypeScript
Key skills
Computer Science
Product Management
UX
UI
AI
Interfaces
Backend
Infrastructure
Reliability
Testing
Optimization
Rendering
Streaming
Research
Machine Learning
Physics
Biology
Interpretability
Multimodal
Tools, Libraries and Frameworks
Slack
HTTP
Next.js
React
Description
The role involves building and shipping user-facing features for a consumer web application. The engineer will collaborate with designers and product managers to translate concepts into polished, responsive experiences. A primary focus is placed on performance, including latency, reliability, and responsiveness across various devices. The position requires iterating on features based on user feedback and internal testing. The work centers on crafting high-quality interfaces and interactions that enhance the overall product feel.
Required Qualifications and Skills
Candidates must have at least 5 years of experience building consumer-facing web products with a focus on UI quality. Proficiency in React, Next.js, TypeScript, and Node.js is required. The role necessitates a strong understanding of user experience, including performance metrics like latency and responsiveness. A bachelor's degree or an equivalent combination of education, training, and experience is required, though formal certifications are not mandatory.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Anthropic
Description
Anthropic is an AI safety and research company focused on crafting AI systems that are reliable, interpretable, and steerable, ensuring they remain safe and beneficial for users and society. With an interdisciplinary team experienced in machine learning, physics, policy, business, and product development, Anthropic is dedicated to the mission of beneficial AI. The company emphasizes collaborative big science research, leveraging a unified team approach to focus on large-scale research efforts aimed at advancing long-term goals of creating trustworthy AI systems.
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