Member of The Technical Staff

Transparent Search GroupSan Francisco, CA
4d$180,000 - $300,000Onsite

About The Position

We're Hiring: Member of Technical Staff (Core Platform) Full-time | On-site San Francisco, CA | $180K - $300K + Competitive Equity What we're looking for: A full-stack engineer (backend lean) with 2-6 years of experience who has a strong track record of building and shipping high-quality code. You should thrive in early-stage, fast-paced environments and bring deep technical curiosity and a strong work ethic. What you'll do: Build distributed systems to run thousands of containers in parallel with fast in-memory snapshots and recovery Design systems that abstract away environment building complexity Experiment with AI agents that analyze large production codebases and automatically generate realistic PRs Build AI copilots to improve workflow efficiency Create systems around humans that make them more efficient at building environments Tech stack: TypeScript, Python, Rust, Distributed Systems, AI Agents, Machine Learning, Reinforcement Learning About us: We build training environments that realistically reflect the work of software engineers. We partner with frontier labs and enterprises to build simulations of complex engineering tasks, helping them train and adapt the next generation of coding agents. Our culture centers around engineering excellence, with emphasis on deep technical ability, curiosity, and dedication. Perks: O-1 visa sponsorship available for exceptional candidates Join a 5-person team founded in 2025 with $10M in funding Interested? Let's talk! #hiring #softwareengineering #AIagents #distributedSystems #startups #sanfrancisco

Requirements

  • full-stack engineer (backend lean) with 2-6 years of experience
  • strong track record of building and shipping high-quality code
  • thrive in early-stage, fast-paced environments
  • deep technical curiosity
  • strong work ethic
  • Software Engineers
  • Funding
  • Hiring
  • Shipping
  • Machine Learning
  • TypeScript
  • Software Design
  • Engineering
  • Python
  • Training

Responsibilities

  • Build distributed systems to run thousands of containers in parallel with fast in-memory snapshots and recovery
  • Design systems that abstract away environment building complexity
  • Experiment with AI agents that analyze large production codebases and automatically generate realistic PRs
  • Build AI copilots to improve workflow efficiency
  • Create systems around humans that make them more efficient at building environments

Benefits

  • O-1 visa sponsorship available for exceptional candidates
  • Join a 5-person team founded in 2025 with $10M in funding
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