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Jobs in Vancouver, Canada

Senior AI Security Researcher

SandboxAQ

Canada
Remote
CAD 253,000 - 317,000
9 days ago
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Senior Solutions Architect - SLED - Sacramento

PowerToFly

Canada
Remote
CAD 148,000 - 213,000
9 days ago

CRC Benefits - Benefits Technology Trainer (Remote)

CRC Group

Canada
Remote
CAD 110,000 - 118,000
9 days ago

AI-Driven Operational Enablement Specialist

Medium

Canada Creek
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CAD 68,000 - 73,000
9 days ago

Operational Enablement Specialist - Canada

Medium

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CAD 68,000 - 73,000
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BIM Software Engineer for Robotic Construction

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Canada
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CAD 80,000 - 100,000
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BIM Software Developer

Medium

Canada
Remote
CAD 80,000 - 100,000
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Senior Frontend Engineer - Vue/Nuxt, Remote-First

Tend

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9 days ago
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Senior Frontend Software Engineer

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Senior SRE Engineer - Remote, Cloud Infra Leader

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CAD 140,000 - 190,000
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Sr. Infrastructure Engineer

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Remote Community Service Worker Instructor – Learn & Lead

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CAD 40,000 - 60,000
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Community Service Worker Instructor- Remote

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Senior Business Systems Analyst - Remote (Canada)

IQVIA

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CAD 60,000 - 80,000
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Analyste Principal des Systèmes d’Affaires (Télétravail) / Senior Business Systems Analyst (Remote)

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CAD 60,000 - 80,000
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Remote Nonprofit Philanthropy & Investment Coordinator

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CAD 58,000 - 67,000
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CAD 120,000 - 160,000
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Sales Manager, Enterprise - Americas

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Canada
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CAD 120,000 - 160,000
9 days ago

Bilingual Single Session Counsellor

LifeWorks

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CAD 60,000 - 75,000
9 days ago

Remote Bilingual Crisis Counselor - Single-Session Support

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CAD 80,000 - 100,000
9 days ago

Bilingual Single Session Counsellor

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CAD 80,000 - 100,000
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Senior Substation Designer — Remote & Flexible Hours

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Senior AI Security Researcher
SandboxAQ
Remote
CAD 253,000 - 317,000
Full time
9 days ago

Job summary

A technology solutions provider is seeking an AI Security Researcher to enhance AI security against emerging threats. This role involves conducting original research on vulnerabilities in AI frameworks, building security mechanisms, and integrating findings with engineering teams. The ideal candidate holds a PhD in a related field, has deep expertise in AI/ML and security research, and possesses strong programming skills in Python. The role offers a competitive salary and a unique opportunity to shape the future of AI security.

Benefits

Annual discretionary bonuses
Equity options
Investments in employee growth

Qualifications

  • Deep expertise in AI/ML, security research, or both.
  • Proven ability to find and fix vulnerabilities.
  • Hands-on experience with secure model deployment.

Responsibilities

  • Conduct research into vulnerabilities in AI systems.
  • Build and operationalize AI security frameworks.
  • Partner with engineering teams to integrate findings.

Skills

Curiosity
Machine Learning
Security Research
Programming in Python
Creative Problem-Solving

Education

PhD in Computer Science or related field

Tools

Adversarial LLM red teaming
Data poisoning techniques
ML and agentic frameworks
Job description
Location

United States, Canada, United Kingdom, Switzerland

Employment Type

Full time

Location Type

Remote

Department

Cybersecurity

Compensation
  • $184K – $230K
About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

About the Role

The SandboxAQ Cybersecurity R&D team is looking for an AI Security Researcher to help us build the future of AI security where the world’s most advanced AI systems are tested, protected and hardened against the next generation of threats.

A successful candidate thrives at the intersection of machine learning, security and software engineering. You’ll lead investigations into how AI systems can fail, and build the tools, rules and frameworks that keep them secure. This is a hands-on role where you’ll break things, fix them and then harden them for good. You’ll have extensive freedom to explore, collaborate, publish, and deploy, shaping the field of AI security from both the offensive and defensive sides.

We’re looking for somebody with the curiosity of a researcher, the rigor of an engineer, and the creativity of a hacker.

You will be part of a diverse team consisting of ML experts, cryptographers, mathematicians, and physicists, where they will play a key role in efficient and effective enablement of the cutting‑edge technologies being developed at SandboxAQ. We’re not another security vendor chasing patch cycles – we want to make an impact, and we want to do it fast.

Core Responsibilities

  • Conduct original research into vulnerabilities, exploits, and adversarial behaviors in LLMs, LQMs, agents, and related AI frameworks

  • Build and operationalize AI security frameworks, evaluations and red teaming tools, and defensive mechanisms to protect models and data

  • Partner with engineering and product teams to integrate your findings into real‑world systems

  • Lead or contribute to responsible disclosure and research publications that advance the state of the art

  • Stay on the edge of the latest in AI interpretability, alignment, and adversarial robustness, and use that knowledge to make AI safer for everyone

Required Qualifications

  • PhD in Computer Science or related field with a focus on Machine Learning or Cybersecurity

  • Deep expertise in AI/ML, security research, or both – with a proven ability to find and fix real vulnerabilities

  • Hands‑on experience with at least one of the following: Adversarial LLM red teaming, model extraction or prompt injection, data poisoning or evasion attacks, secure model deployment or sandboxing, detection and monitoring for AI misuse

  • Strong programming skills in Python, and relevant ML and/or agentic frameworks

Desirable Qualifications

  • Experience contributing to open source projects

  • Experience in the broader cybersecurity domain is a plus, but not essential

The US base salary range for this full‑time position is expected to be $184k – $230k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job‑related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.

SandboxAQ Welcomes All

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

Compensation Range: $184K - $230K

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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