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← Scale AI

Staff Software Engineer, Full Stack - Gen AI

Scale AI · New York, NY; San Francisco, CA; Seattle, WA; New York, NY · San Francisco, CA

CHECKED 15H AGO

Infrastructureonsitestaff$252k–$315k
Apply on the lab’s site ↗

At a glance

Highlights

  • Power world-class RLHF data engine behind the most advanced LLMs.
  • Act as org-wide architect embedding in highest-priority Contributor initiatives.
  • Lead overhaul to make core platform sustainable, scalable and AI-native.

What they offer

  • Base salary plus equity (subject to Board approval)
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend (may be eligible)

Ideal candidate

A seasoned technical leader who thrives owning ambiguous, org-wide problems and unblocking fast-moving teams. You care deeply about scalable architecture, mentoring others, and shaping AI-native platforms that power frontier models.

Requirements

  • 7+ years of full-time engineering experience post-graduation with track record as Tech Lead, Architect, or Principal Engineer
  • Track record of shipping high-quality products and features at scale
  • Experience tinkering with or productizing LLMs, vector databases and latest AI technologies
  • Proficient in JavaScript/TypeScript and SQL
  • Experience with Kubernetes
  • Experience with major cloud providers (AWS, Azure, GCP)

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗