20 часов назад
Staff Software Engineer, AI Safety
192 000 - 272 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, AI Safety (Python/backend): Building shared software, data pipelines, evaluation tools, and model integrations that help researchers identify and mitigate societal risks from scientific AI with an accent on reproducibility, reliability, and evolving research workflows. Focus on designing APIs and dependable execution systems, supporting red-teaming and safety evaluations, and making experimental evidence traceable across models, agents, and automated experiments.
Location: Cambridge, MA, USA; London, UK; or San Francisco, CA, USA
Salary: $192,000–$272,000 USD base salary per year for U.S.-based positions; international salaries are set to local market.
Company
builds AI systems and proprietary AI Science Factory instruments to automate the scientific method and accelerate discovery in medicine, materials, and energy.
What you will do
- Build reusable services, libraries, and model or tool integrations for evaluations, red-teaming campaigns, and mitigation experiments.
- Develop applications for organizing evidence, inspecting results, reviewing data, and investigating failures.
- Translate research workflows and technical user needs into maintainable software and shared engineering tools.
- Build data pipelines and experiment records covering datasets, taxonomies, model versions, configurations, and results.
- Own testing, debugging, monitoring, documentation, reliability, and usability of shared safety tools.
- Collaborate with AI and software engineering teams on infrastructure and reusable tooling.
Requirements
- Track record of independently delivering and maintaining production software amid ambiguous or changing requirements.
- Strong Python and backend engineering skills, including API design, databases, and dependable data or execution pipelines.
- Experience translating the needs of researchers, domain experts, or other technical users into usable tools.
- Sound judgment in system design, testing, debugging, reliability, performance, and complexity management.
- Experience in AI research, AI safety, scientific computing, or rapidly evolving experimental workflows.
- Clear communication skills and interest in scientific AI safety.
Nice to have
- Experience building safety-specific tooling.
- Full-stack internal applications, annotation or review tools, or experimental evidence management systems.
- Distributed experiment execution, model-serving integrations, or isolated environments for agent evaluations.
Culture & Benefits
- Startup-speed environment focused on scientific AI safety and autonomous scientific discovery.
- Full-time U.S. employees receive medical, dental, vision, life, disability, parental leave, educational assistance, commuter, and subsidized lunch benefits.
- Full-time international employees receive regionally tailored benefits.
- U.S. employees receive flexible time off and generous company-wide holidays.
- Compensation may include a bonus and early-stage equity.
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