Responsibilities
- Help shape the future of large language models by improving fairness, trustworthiness, and security.
- Develop data generation strategies, post-training techniques, and evaluation frameworks focused on safety for models that can access external tools and act in dynamic environments.
- Partner with machine learning teams across disciplines and data annotation groups to build robust safety systems.
- Engage with product and policy teams to align technical development with real-world impact and ethical considerations.
- Explore and solve novel scientific challenges in AI safety and security.
- Build and implement prototypes to validate new approaches and test hypotheses.
- Analyze complex datasets and experimental outcomes to guide model improvements.
Benefits
- Weekly lunch allowance of $75 or equivalent in local currency.
- Comprehensive health and dental coverage with dedicated mental health funding.
- Retirement savings support through RRSP matching, 401K, or local pension plans.
- Full salary continuation for up to six months during parental leave for either parent.
- Annual budget for personal growth in arts, wellness, family time, and workspace upgrades.
- Funds for professional development including conferences, courses, and coaching.
- Six weeks of paid vacation per year (30 working days).
- Travel budget to visit other offices and attend the annual company offsite.
- Daily catered lunches, snacks, and social events for office-based employees.
- Co-working space allowance for remote employees not near company offices.
- $500 one-time stipend for home office setup.
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Remote-friendly with flexible location options
Team
Cross-functional collaboration with ML, data, product, and policy teams
Other
- Applicants must have approximately 50% working hour overlap with UK/EU time zones (e.g., US East Coast is acceptable).
- No geographic restrictions beyond time zone alignment.
- Fully remote work is supported.
- Physical offices located in Toronto, San Francisco, New York City, London, Paris, Montreal, with expansion planned.
Not specified
