Found.dev
Role Highlights
Languages used
Swift
Key skills
Computer Science
Full Stack
AI
Backend
Machine Learning
3D
Graphics
Audio
Research
Physics
Biology
Interpretability
Multimodal
Tools, Libraries and Frameworks
IOS
IOS SDK
HTTP
Description
The role involves architecting and implementing iOS applications that utilize advanced language models. Engineers will develop novel solutions and optimize performance across the mobile stack. The position requires contributing to backend systems and championing mobile development best practices. Team members collaborate with researchers, designers, and product teams to create user-friendly mobile applications. The work focuses on enhancing how individuals interact with technology through mobile platforms.
Required Qualifications and Skills
Candidates must possess expertise in Swift, UIKit, SwiftUI, and iOS frameworks, along with proficiency in the latest mobile platform capabilities. Practical experience with full-stack development and backend technologies is required, as is a proven track record of shipping high-adoption mobile applications. Strong communication and mentorship skills are necessary for success in this collaborative environment. A bachelor's degree or an equivalent combination of education, training, and experience is the minimum educational requirement.
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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