Высокая зарплата, понятная роль на стыке продакшена и AI и работа над быстрорастущим музыкальным продуктом делают вакансию привлекательной. Но обязательные пять дней в офисе и интенсивная культура - важные компромиссы.
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Пять дней в офисеВысокий темпСовременный стекЗарплата выше рынкаМузыка и AIПонятная роль
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Текст:
Hirify AI/Оригинал
TL;DR
Senior / Staff Full-Stack / AI Engineers (AI): Building the backend, data pipelines, evaluation systems, and internal tools for an LLM-powered music creation agent with an accent on multi-step tool calling, nondeterministic system evaluation, and production reliability. Focus on designing release gates and graders, operating high-traffic services, and collaborating with ML engineers and product teams to ship AI music features.
Location: San Francisco, United States. Hybrid listing; the role is expected to work from the designated Suno SF office 5 days per week. Applicants must be eligible to work in the US.
Salary: $228K–$363K base salary, plus equity.
Company
Suno is a consumer entertainment product company building an AI-powered music creation platform and song creation agent.
What you will do
Build and operate the backend for an AI agent that plans multi-step requests and calls music models and audio tools.
Design evaluations, datasets, graders, and release gates for nondeterministic agent behavior, and determine whether changes are ready to ship.
Develop data pipelines that support the agent and its evaluations in collaboration with ML engineers.
Create internal TypeScript and React tools for running and reviewing evaluations and model output.
Provide on-call and launch support for a high-traffic production system and help onboard new engineers.
Ship features that help users turn ideas into music.
Requirements
4–6 years of experience building and scaling general backend systems in production, including services at scale, observability, and on-call ownership.
Experience shipping and operating an LLM-powered agent or feature in production for external or internal users, including multi-step tool calling.
Experience building evaluations for nondeterministic systems, such as regression sets, graders, or LLM judges, and using results to decide what ships.
Comfort working on a small production-focused team, handling ambiguity, unblocking yourself, and collaborating with ML engineers, PMs, and partner teams.
Nice to have
Experience with Python backends.
Experience building internal tools or dashboards in TypeScript and React for reviewing model output.
Experience with audio, music, or other media generation systems.
Experience with LLM tracing and observability tools.
Culture & Benefits
Full-time employment with competitive equity packages.
401(k) with a 3% employer match and Roth 401(k).
Medical, dental, and vision insurance, with PPO, HSA, and FSA options.
11 paid holidays, unlimited PTO and sick time, and 16 weeks of paid parental leave.
Creative education stipend, commuter allowance, and in-office lunch five days per week.
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