Join Crucibl as a Member of Technical Staff to push the frontier of judgment in AI and shape the future of decision-making.
Posted by employer 3 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 3 hours ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
In this role, the Member of Technical Staff at Crucibl focuses on researching and developing methods for reasoning through complex business decisions, particularly in the context of AI. The position requires a strong foundation in machine learning, statistics, or natural language processing, along with experience in designing evaluation frameworks for AI models. Ideal candidates are those with a proven track record in research and a comfort with ambiguity, as they will help shape the company's technical vision and contribute to its growth in a fast-paced environment.
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Quick facts
From the original posting
What You'll Do
Push the Frontier of Judgment
Research how frontier models reason through ambiguous, high-stakes business decisions - and where they fail
Design novel methods for reasoning, evaluation, and calibration that go beyond standard benchmarks
Translate open problems in reasoning, uncertainty, and multi-step decision-making into approaches we can test and ship
Build Evaluation That Matters
Define what "good judgment" looks like for a model, and build the evaluation frameworks to measure it
Design experiments that reveal real failure modes, not just leaderboard scores
Turn findings into concrete recommendations for the product and applied teams
Partner with Founders
Shape technical vision and roadmap alongside the founding team
Bring outside research thinking into a company solving a problem few labs are focused on
Set the Bar
Define what rigorous, applied research looks like in an AI-first organization
Raise the bar for the team as it grows
Who You Are Must-Haves
At least one undeniable signal of excellence - published research at a top venue, research role at a frontier lab, or a track record of novel technical contributions
Deep understanding of how LLMs reason, fail, and can be evaluated - this isn't a theoretical interest, it's core to the job
Strong fundamentals in ML, statistics, or NLP - we're too small for hand-holding on the technical side
Comfortable moving from open-ended research question to a testable hypothesis quickly
Strong Signal
Experience designing evaluation frameworks or benchmarks for reasoning, decision-making, or agentic systems
Published or shipped work on uncertainty, calibration, multi-step reasoning, or LLM evaluation
Has operated in a high-growth, high-ambiguity environment
Thinks like an owner - big picture, not just your part
We're Not Looking For
Researchers who need a clean, self-contained problem before starting - ambiguity is the job
Pure benchmark-chasers - we care about judgment that holds up with real clients, not just leaderboard gains
Researchers without product instincts - your work needs to change what we build and ship, not sit in a paper -- but we are open to publishing work!
Benefits & Perks
Zero to Outcome: Seed stage means you shape the product, the culture, and the trajectory - not inherit them.
Full Health Coverage: Medical, dental, and vision.
Standard company text repeated across Crucibl's postings is omitted here.