Member of Technical Staff -- Applied Scientist

CruciblSan Francisco, CA
Hybrid

About The Position

Crucibl is building a solution for the enterprise AI industry, focusing on judgment at scale. The company aims to help businesses make messy, ambiguous decisions faster, crisper, and more defensibly. Crucibl is profitable, growing rapidly, and has secured $10M in seed funding from top VCs, while continuing to grow on revenue. The company has a full client pipeline and is scaling to meet demand.

Requirements

  • At least one undeniable signal of excellence: built and shipped ML systems at a top tech company, early applied scientist at a startup that built something real, notable open source work, or top-tier CS/ML program.
  • Strong fundamentals in ML/AI: experience taking models from prototype to production.
  • Shipped meaningful ML-powered products end-to-end, systems that people rely on.
  • Comfortable with the full stack of applied work: data, modeling, evaluation, deployment.
  • Must have experience building LLM-powered products, pipelines, or agentic systems in production.
  • Must have experience with enterprise data systems or analytics infrastructure.
  • Must have operated in a high-growth, high-ambiguity environment.
  • Thinks like an owner, focusing on the big picture.

Nice To Haves

  • Scientists who need a full spec before starting - ambiguity is the job.
  • Coasters from large tech - we want people who shipped things that mattered, not maintained things that existed.
  • Pure researchers without product instincts - we build for real clients, not benchmarks.

Responsibilities

  • Turn Research Into Product: Design and build the reasoning and modeling components at the core of our intelligence engine, including retrieval, orchestration, evaluation, and fine-tuning.
  • Transform promising research techniques into robust, production-grade systems.
  • Own the full development loop: experiment, measure, ship, and iterate on real client data.
  • Make the Product Smarter: Build and improve the models and pipelines that power judgment at scale for enterprise clients.
  • Instrument systems to catch failure modes early and use them for concrete improvements.
  • Balance rigor with speed to meet client needs promptly.
  • Partner with Founders: Collaborate on roadmap, trade-offs, and technical vision.
  • Ship directly to enterprise clients, ensuring immediate and measurable impact.
  • Set the Bar: Define excellence in applied science within an AI-first organization and raise the team's standards as it grows.

Benefits

  • Seed stage means you shape the product, the culture, and the trajectory.
  • See your work matter directly with immediate and measurable impact.
  • Work with a small, elite team that will raise your game.
  • Meaningful Equity: comprehensive salary and equity package.
  • Hybrid Schedule: 3 days in-office with flexibility.
  • Full Health Coverage: Medical, dental, and vision.
  • Daily Lunch & Snacks.
  • Visa sponsorship eligibility is determined during the interview process.
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