Model Behavior Engineer – Reasoning and Decision Making

🕒 October 17

🏄 California – Remote

🏄 California – Remote

💵 $220k - $320k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 17%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Elicit

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

📚 Education

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

Education • Artificial Intelligence • Healthcare Insurance

Elicit is a tool designed to enhance academic research productivity by automating the analysis of research papers. It allows users to summarize papers, extract data, and synthesize findings quickly and efficiently, making the literature review process significantly faster and more organized. With access to over 125 million research papers, Elicit empowers researchers to discover relevant literature using natural language queries and offers features that streamline systematic reviews and meta-analyses.

📋 Description

• Understand decisions users and domain experts need to make in scientific R&D and commercial strategy • Identify objectives, constraints, available evidence, and important unknowns • Define and measure good reasoning using example inspection, expert judgment, and quantitative analysis • Build evaluations for underspecified problems and validate that scores reflect meaningful improvements • Investigate model and agent failures and turn observations into testable hypotheses • Experiment with problem decomposition, context, tools, information-seeking, and self-checking approaches • Design agent environments and representations for problems, evidence, assumptions, and unresolved questions • Design reliable software abstractions, data structures, and component boundaries for reasoning workflows and evaluations • Balance simplicity, flexibility, reliability, latency, and cost • Write maintainable code and participate in design and code reviews • Test, monitor, diagnose, and integrate systems into the product • Collaborate with engineers, product, design, and domain experts • Take problems from investigation and experimental design through implementation and product use • Improve systems built around existing frontier models, with training or finetuning where useful

🎯 Requirements

• Rigorous thinking about ambiguous problems, including identifying hidden assumptions and weighing conflicting evidence • Curiosity across domains and ability to learn unfamiliar subjects • Clear communication with people of different expertise • Ability to devise useful experiments without established benchmarks • Ability to inspect failures in detail and distinguish evidence from noise • Ability to independently write and debug code • Experience working with data and model APIs • Comfortable with Python or a comparable programming language • Practical familiarity with language models and their capabilities and limitations • Strong engineering and architectural judgment • Experience building understandable, usable, and extensible software • Effective use of coding assistants while verifying the resulting design and code • Evidence through substantial projects, thoughtful experiments, and clear technical explanations • Ability to travel for quarterly retreats and in-person coworking events • Role optimized for candidates contributing at senior L4 level or above

🏖️ Benefits

• Flexible work environment with office or remote work • Quarterly team retreats and coworking events • Fully covered health, dental, vision, and life insurance for the employee • Generous family insurance coverage • FSA/HSA • Flexible vacation policy with a minimum recommendation of 20 days/year • Company holidays • $200 monthly wellbeing stipend • 401K with a 6% employer match • New Mac and $1,000 workstation/home office budget in the first year • $500 workstation/home office budget every year thereafter • $1,000 quarterly AI Experimentation & Learning budget • Team administrative assistant for personal and work tasks • Above-market equity with employee-friendly equity terms

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