Staff / Principal Engineer, Technical Mitigations Research (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff / Principal Engineer, Technical Mitigations Research (AI Safety): Building and implementing a bespoke safety strategy and technical safeguards for a scientific superintelligence platform with an accent on safety systems, post-training, and risk mitigation. Focus on designing safeguards for in silico and lab-based scientific workflows and leading the development of safety-focused evaluations and monitoring systems.
Location: Cambridge, MA USA; London, UK; or San Francisco, CA USA
Salary: $224,000 - $336,000 USD
Company
is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.
What you will do
- Define the build and research strategy for safety systems across scientific data analysis, generation pipelines, and post-training.
- Conduct initial safeguards experimentation and buildout tailored to specific scientific needs.
- Lead research to advance technical safeguards for both in silico and lab-based scientific workflows beyond the state of the art.
- Collaborate with domain experts in biology, chemistry, and materials science, as well as core AI and product teams.
- Contribute to high-quality research efforts for scientific capability evaluation and restriction.
- Support external communications regarding the company's safety efforts.
Requirements
- Track record of building safety systems, classifiers, or conducting post-training for frontier-class problems (science, reasoning, programming).
- 4-6+ years of experience in ML engineering.
- Proven experience building scalable production systems rather than just prototypes.
- Ability to set research directions for open problems in post-training and classifier buildouts.
- Ability to communicate complex technical concepts and concerns to non-expert audiences effectively.
Nice to have
- Experience developing or applying ML to biological or physical sciences.
- Experience building safeguards for scientific risks for frontier models or narrow scientific tools.
- Demonstrated ability to lead engineering teams toward goals.
Culture & Benefits
- Competitive compensation including bonus potential.
- Generous early equity.
- Opportunity to pioneer scientific superintelligence to solve global challenges in health, climate, and sustainability.
- Commitment to equal employment opportunity regardless of background.
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