Model Behavior Engineer – Reasoning and Decision Making

🕒 Outubro 17

🏄 California – Remoto

🏄 California – Remote

💵 $220.000 - $320.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 17%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Elicit

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2023

📚 Educação

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

Education • Artificial Intelligence • Healthcare Insurance

O Elicit é uma ferramenta projetada para aumentar a produtividade da pesquisa acadêmica, automatizando a análise de artigos científicos. Ela permite que os usuários resumam artigos, extraiam dados e sintetizem descobertas de forma rápida e eficiente, tornando o processo de revisão de literatura significativamente mais rápido e organizado. Com acesso a mais de 125 milhões de artigos científicos, o Elicit capacita os pesquisadores a descobrir literatura relevante usando consultas em linguagem natural e oferece recursos que simplificam revisões sistemáticas e meta-análises.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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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