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2 дня назад

Applied Scientist, Agentic Automated Reasoning Group (AI)

142 800 - 193 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied Scientist, Agentic Automated Reasoning Group (AI): Building the next generation of software verification tools combining AI and cloud computational capacity with an accent on interactive theorem proving, deductive verification, and generative AI. Focus on solving complex code analysis problems and implementing provable security for AWS infrastructure.

Location: Hybrid (Boston, Austin, or Portland, USA). Must be based near one of the U.S. hirify.global offices.

Salary: $142,800 – $193,200 USD annually

Company

hirify.global Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

What you will do

  • Collaborate with customer teams to understand software properties and identify necessary verification needs.
  • Utilize tools ranging from fuzzers and model checkers to interactive theorem provers to establish program properties.
  • Explore and apply generative AI techniques to formalize requirements, generate tests, and repair program proofs.
  • Develop tools to accelerate code verification for various application areas, including Infrastructure as Code and high-performance cryptography.
  • Deliver results in the form of verified code and advanced verification tooling.

Requirements

  • PhD, or Master's degree with 5+ years of experience in CS, CE, ML, or a related field.
  • Proven record of patents or publications at top-tier peer-reviewed conferences or journals.
  • Proficiency in programming with Java, C++, or Python.
  • Expertise in formal verification, program analysis, constraint-solving, or theorem proving.
  • Strong background in algorithms, data structures, parsing, or parallel and distributed computing.
  • Must be located near one of the specified US hirify.global offices for hybrid work.

Nice to have

  • Experience with interactive theorem provers, specifically Lean or Coq.
  • Knowledge of operational, denotational, or axiomatic semantics.
  • Experience with abstract interpretation, data flow, or model checking.
  • Professional software development experience and proficiency with Unix/Linux.
  • Practical experience applying machine learning and generative AI tools.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, vision, and mental health support.
  • Financial benefits such as 401(k) matching, sign-on payments, and restricted stock units (RSUs).
  • Flexible hybrid work model to balance focused build time and in-person collaboration.
  • Inclusive team culture with employee-led affinity groups and professional mentorship.
  • Commitment to work-life harmony and continuous career growth.

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