We're looking for a Machine Learning Intern to help advance a platform that ensures trust and transparency in AI-generated content. This role supports both applied engineering and research directions, depending on your strengths and interests, and offers direct collaboration with senior AI and engineering leaders.
What You'll Do
- Design, train, and refine modern large language models to improve detection and analysis of synthetic content
- Build and optimize AI agents enhanced with retrieval-augmented methods for improved reasoning and accuracy
- Develop efficient, scalable systems for training and deploying machine learning models
- Stay current with emerging research and adapt novel techniques to solve real-world challenges
- Partner with product and design teams to shape tools that serve broad societal needs
What We're Looking For
- Strong programming skills in Python and hands-on experience with PyTorch
- Demonstrated ability to implement or advance state-of-the-art machine learning methods
- Proactive mindset with a drive to learn and adapt quickly
- Commitment to creating technology that benefits society
- Flexibility to contribute across technical domains as needed
- Eligibility to work in the US or Canada
Preferred Experience
- Active open-source contributions in machine learning or related fields
- Publications at leading machine learning conferences
- Background in fast-moving startup environments
- Understanding of real-world failure modes in machine learning systems
Technology Stack
Python, PyTorch
Benefits & Work Environment
- Health, dental, and mental health coverage
- Hybrid work model with access to offices in Toronto and NYC
- Competitive salary and flexible paid time off
- Company-wide retreats and learning opportunities
- Wellness and professional development stipend
- Mentorship from experienced AI practitioners, advisors, and investors
