About the Role
The individual will lead the design and implementation of core AI models and infrastructure, working closely with a small team to bring innovative solutions to market.
Responsibilities
- Design and train machine learning models for real-world applications
- Build scalable backend systems to support AI functionality
- Collaborate with product and engineering teams to define technical roadmaps
- Optimize model performance and reduce inference costs
- Implement data pipelines for training and evaluation
- Ensure models meet accuracy, fairness, and reliability standards
- Stay current with advancements in AI research and apply relevant findings
- Write clean, maintainable code with thorough documentation
- Debug and resolve issues across the AI stack
- Contribute to architectural decisions for long-term scalability
- Evaluate third-party AI tools and APIs for integration potential
- Assist in defining data collection and labeling strategies
- Monitor model behavior in production environments
- Improve system security with respect to AI components
- Support deployment of models across multiple platforms
Nice to Have
- Experience as a technical founder or early employee at a startup
- History of open-source contributions in AI or machine learning
- Publications or projects demonstrating advanced AI work
- Familiarity with edge computing or on-device AI
- Knowledge of regulatory standards for AI systems
Compensation
Competitive salary with equity offered
Work Arrangement
Flexible hours with remote work options
Team
Early-stage team building AI-driven tools
What We’re Building
We are creating a next-generation AI platform focused on automating complex decision-making tasks for knowledge workers.
Culture
We value ownership, technical rigor, and clear communication. Team members are expected to take initiative and drive projects independently.
Visa sponsorship available for exceptional candidates
