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Senior Software Engineer, GenAI

United States, San Francisco 216200.00 - 270250.00 USD / Year · Job Posted February 20, 2026
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Job Description

Join the team shaping the future of AI at Scale. As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

Job Responsibility

  • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
  • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
  • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
  • Own core systems critical to our contributor platform, with direct impact on Scale’s GenAI data pipeline and business outcomes
  • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
  • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
  • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements

Requirements

  • 5+ years of software engineering experience, ideally in high-growth, product-focused environments
  • Proven track record of shipping production systems at scale
  • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
  • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
  • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
  • Strong product sense and ability to translate ambiguous problems into technical solutions
  • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
  • Excited to join a dynamic hybrid team based in San Francisco or New York City

What we offer

  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • a commuter stipend

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