Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (GenAI): Designing and building scalable full-stack systems for AI data operations with an accent on RLHF, model evaluation, and high-throughput data pipelines. Focus on architecting infrastructure for millions of weekly tasks, optimizing contributor platforms, and ensuring high availability.
Location: Hybrid in San Francisco, New York, or Seattle
Salary: $216,200 - $270,250 USD
Company
Scale AI is a leading AI data foundry focused on accelerating the development of frontier AI applications, including generative AI and autonomous vehicles.
What you will do
- Design and maintain scalable full-stack systems across frontend, backend, and infrastructure layers.
- Implement high-impact features using TypeScript, React, Node.js, MongoDB, and Temporal.
- Collaborate with internal operators to identify bottlenecks and ship pragmatic solutions.
- Architect infrastructure capable of handling millions of tasks per week with low latency.
- Partner cross-functionally with ML teams and Product to ensure data quality.
- Mentor teammates through code reviews and establish engineering best practices.
Requirements
- 5+ years of software engineering experience in high-growth, product-focused environments.
- Proven track record of shipping production systems at scale.
- Deep technical expertise in frontend frameworks, distributed systems, or data infrastructure.
- Experience with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal.
- Must be based in or able to work from San Francisco, New York, or Seattle (Hybrid).
- Strong product sense and ability to translate ambiguous problems into technical solutions.
Culture & Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits and a learning and development stipend.
- Generous PTO and commuter stipend for eligible roles.
- Inclusive and equal opportunity workplace environment.
- Opportunity to work on the most important data infrastructure for the future of AGI.
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