Research Scientist / Research Engineer, Automated Safety (AI)

Location: Cambridge, MA, USA; London, UK; or San Francisco, CA, USA. Other locations include Alewife, Cambridge, MA and Europe.

Expected base salary: $180,000–$298,000 USD annually for U.S.-based positions; international salaries are set to local market.

Company

hirify.global builds autonomous scientific AI systems by combining advanced AI models with proprietary AI Science Factory instruments to accelerate discovery across medicine, materials, and energy.

What you will do

• Develop and run capability evaluations of scientific models, agents, tool-mediated workflows, and simulated laboratory environments with domain experts.
• Create adaptive methods and systems for exploring diverse failure modes beyond fixed benchmarks.
• Build reproducible experiments and evaluation tools that capture behavior, outcomes, and interpretable evidence.
• Measure the quality and coverage of automated assessments, including evaluator failure cases.
• Develop safety automation for threat-model management, evidence triage, regression testing, monitoring workflows, and risk-response tools.
• Collaborate with risk researchers and mitigation engineers to improve safeguards and verify their effectiveness.

Requirements

• Strong empirical judgment, practical programming ability, and experience working with modern AI systems.
• Ability to investigate ambiguous failures, design informative comparisons, and communicate limitations clearly.
• Interest in scientific misuse risks and ability to collaborate productively with domain specialists.
• For the Research Scientist profile: evidence of selecting valuable research questions, developing or adapting methods, and designing experiments that produce defensible conclusions; ability to prototype and test ideas.
• For the Research Engineer profile: evidence of building reliable research software, evaluation infrastructure, or agent systems that enable reproducible experiments and efficient iteration; ability to contribute to experimental design and interpretation.

Nice to have

• Experience with automated red teaming, adversarial testing, or evaluation-method research.
• Experience with scientific AI, tool-using agents, laboratory automation, or other complex environments.
• Experience with safety monitoring, model-based evaluators, or scalable experimental infrastructure.

Culture & Benefits

• Work in a talent-dense, high-agency AI safety team collaborating across science, model training, and lab integration.
• Full-time U.S. employees receive medical, dental, and vision coverage, employer-paid life and disability insurance, flexible time off, company-wide holidays, paid parental leave, educational assistance, commuter benefits, and subsidized lunch.
• Full-time employees outside the U.S. receive benefits tailored to their region.
• U.S. employees may receive bonus potential and early-stage equity.
• Work guided by values of truth, trust, curiosity, grit, and velocity while addressing scientific safety and security challenges.