September 16
•Conduct independent research and produce digital (blog/Tweet/paper) and physical (conference talks where appropriate) content •Create processes and tooling that innovate on discovery and hardening of various LLM security boundaries (see: https://0din.ai/scope) •Be a leading voice and drive innovation in AI security research. •Work directly with independent researchers to validate and iterate on their submissions •Engage with the community in general to socialize and grow the program
•You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 3+ years of experience applying these skills in an industry setting. •You have used forecasting or other predictive methods on large scale data. Working on machine learning in production is a plus. •You have experience in SQL or SQL-like environments, scripting languages such as Python, and desire to gain further technical experience on the job. •In-depth knowledge of the OWASP Top 10 for LLM Applications •Demonstrated experience in delivering presentations to professional-level audiences (industry or academic conferences, symposia, etc) •You will preferably have a public GitHub account •Commitment to our values: •Welcoming differences •Being relationship-minded •Practicing responsible participation •Having grit
•Generous performance-based bonus plans to all eligible employees - we share in our success as one team •Rich medical, dental, and vision coverage •Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) •Quarterly all-company wellness days where everyone takes a pause together •Country specific holidays plus a day off for your birthday •One-time home office stipend •Annual professional development budget •Quarterly well-being stipend •Considerable paid parental leave •Employee referral bonus program •Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
Apply NowAugust 27
1001 - 5000
Build scalable Machine Learning systems for music consumption insights.
🇨🇦 Canada – Remote
💰 Post-IPO Debt on 2021-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
August 23
201 - 500
Build and support machine learning-driven features for the platform enhancing user experience.
August 23
1001 - 5000
Build and enhance AI solutions to improve online shopping experiences.
🇨🇦 Canada – Remote
💰 $6.7M Post-IPO Equity on 2012-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
August 14
5001 - 10000
Architect and optimize ML inference platforms for various models and innovative solutions.