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Низкая зарплатаРазмытые обязанностиГибридная модель работы
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Текст:
Hirify AI/Оригинал
TL;DR
Founding Design Engineer, AI Capability Development (AI): Building paradigms to help people become more capable using AI, shipping features based on discoveries. Focus on integrating skill development into product design and measuring success by how users grow.
Location: San Francisco, CA; New York City, NY; or Seattle, WA, with at least 25% in-office attendance required
Annual salary: $300,000–$405,000 USD
Company
Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for people and society.
What you will do
Build and ship product features that help users develop practical AI skills and measure capability growth.
Architect end-to-end front-end and back-end prototypes exploring new interaction paradigms, with strong attention to motion, polish, and interaction quality.
Set technical direction, establish reusable engineering patterns, and operate as the primary technical builder on a small research-focused team.
Translate research on skill development and human-AI collaboration into production features.
Shape product strategy and roadmaps while collaborating with Product, Design, Research, and Engineering.
Communicate ideas and results through technical writing, prototypes, and presentations.
Requirements
6+ years of experience building and shipping web products across the full stack.
Strong front-end engineering skills with TypeScript, JavaScript, React, and CSS, plus interaction design and visual detail.
Back-end and data pipeline experience with Python, API design, and analytics infrastructure.
Experience independently driving features from prototype to production and setting technical direction.
Strong product judgment, research instincts, prioritization skills, and comfort working in ambiguous problem spaces.
Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
Experience with developer tools, creative tools, learning platforms, or other products focused on user mastery.
Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology.
Experience with experimentation frameworks, A/B testing, analytics for capability development, or LLMs in production.
Published writing, talks, or open-source work related to skill development, human-AI interaction, or product philosophy.
Experience in research labs, frontier technology companies, or highly autonomous startups.
Culture & Benefits
Collaborative research environment focused on high-impact, long-term AI safety and alignment work.
Flexible working hours and a hybrid workplace with office collaboration.
Visa sponsorship may be available, with immigration lawyer support for eligible offers.
Communication, cross-functional collaboration, and diverse perspectives are strongly valued.
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