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security nlp machine learning fraud detection llms📋 Description
- Lead ML systems to detect abusive users and fraudulent content in shared docs.
- Build models to detect spam and manipulative activity in shared spaces.
- Own detection pipelines to monitor documents, interactions, and sharing patterns.
- Leverage NLP and ML advances to flag patterns in real time.
- Join a mission-driven team with autonomy and rapid iteration.
- Deliver quick results from concept to deployment for global users.
🎯 Requirements
- MS or PhD in Computer Science.
- 5+ years in ML engineering or applied research.
- Strong knowledge of ML, NLP, and LLM approaches.
- Experience building LLM-based products.
- Strong focus on end-user experience and quality.
- Independent, proactive, cross-functional collaborator.
🎁 Benefits
- Excellent health care (medical, dental, vision, mental health, fertility benefits)
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- 20 days of PTO, 12 holidays, two floating holidays, flexible sick time
- Annual professional development budget
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