Престижная роль в топовой продуктовой компании на стыке ИИ и формальных методов. Высокая зарплата и передовой стек делают эту вакансию одной из лучших на рынке, хотя порог входа очень высокий.
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Высокий порог входаТолько офисПередовой стекВысокая зарплатаТрендовый доменПонятный scope
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff/Principal Research Engineer (AI/Distributed Systems): Building verified data infrastructure and trustworthy data systems with an accent on formal methods, automated reasoning, and AI-driven techniques. Focus on improving correctness, reliability, and engineering velocity of distributed systems at enterprise scale.
Location: Onsite in Menlo Park, CA, USA
Salary: $236,000 – $339,200
Company
A cloud data platform powering the era of the agentic enterprise through modern lakehouse architectures and industry-leading data engineering.
What you will do
Lead research projects applying formal methods, program analysis, and AI-driven techniques to a cloud data platform.
Translate research ideas into prototypes and shipped capabilities that improve quality, velocity, and reliability.
Partner with engineering leaders and product managers to identify high-leverage opportunities.
Influence the engineering and product roadmap by advising on pragmatic research directions.
Mentor and uplevel engineering teams by scaling new methods across the organization.
Contribute to the field through publications, conference participation, and patent filings.
Requirements
PhD in Computer Science or equivalent research experience.
Deep expertise in formal methods (model checking, theorem proving, SAT/SMT, program verification).
Strong background in distributed systems and reasoning about large-scale concurrent systems.
Practical experience applying modern ML and LLMs to systems problems like code generation or synthesis.
8+ years of experience applying theoretical computer science to large-scale software systems.
Proven track record of technical contributions through publications or open-source work.
Culture & Benefits
Opportunity to work in a fast-paced, experimental environment focused on redefining the future of work.
Culture of low-ego individuals thriving in dynamic and ambiguous environments.
Focus on high-impact deliverables and shipping production-quality research.
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