6 часов назад
Developer Relations (AI)
175 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Developer Relations (AI) (Diffusion LLMs): Building runnable demos, benchmarks, integrations, technical content, and developer communities around Mercury diffusion language models with an accent on AI infrastructure, reproducible evaluation, and public technical communication. Focus on shipping working artifacts, explaining model architecture and performance, engaging technical audiences, and supporting customer-facing GTM initiatives.
Location: Bay Area, in office
Salary: $175,000–$300,000 annual base salary, plus equity and benefits.
Company
develops diffusion-based language models, including Mercury, designed to deliver substantially faster and more efficient LLM inference.
What you will do
- Ship runnable technical artifacts approximately every two days, including demos, benchmarks, tutorials, integrations, and technical blog posts.
- Build public demos and reproducible benchmarks demonstrating Mercury's performance on developer workloads such as voice, agents, search/RAG, and coding.
- Contribute to playgrounds, documentation, integration guides, code samples, technical blogs, and other developer-facing product surfaces.
- Own developer-facing social and community engagement across X, LinkedIn, Reddit, GitHub, Hacker News, and Discord.
- Represent at conferences and build relationships with technical creators, partner DevRel teams, and AI community members.
- Partner with Marketing, Sales, Product, Engineering, and Evaluation teams on technical content, customer enablement, product feedback, and roadmap input.
Requirements
- Deep technical background with substantial shipped or published work in AI/ML, such as technical writing, open-source projects, research papers, or developer-cited demos.
- PhD, prior DevRel experience at a leading AI/ML company, or equivalent production engineering experience.
- Ability to ship working code and communicate technical concepts to both beginners and researchers.
- Knowledge of inference optimization, model architectures, benchmark methodology, and autoregressive versus non-autoregressive approaches.
- Credible public voice and active participation in developer communities.
- Comfort working across technical content, public communication, GTM initiatives, and a fast-moving startup environment.
Culture & Benefits
- Collaboration with leading AI researchers and the inventors of diffusion models.
- Opportunity to influence foundational AI technology and product direction.
- Competitive salary, equity, flexible vacation, and paid time off.
- Health, dental, and vision insurance, plus a 401(k) match.
- Catered meals and commuter subsidies.
- Collaborative and inclusive work environment.
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