About the Role
The role involves developing core AI models and software infrastructure from the ground up, contributing to product architecture, and working closely with cross-functional teams to deploy intelligent systems.
Responsibilities
- Design and train machine learning models for real-world applications
- Build scalable backend systems to support AI functionality
- Collaborate on end-to-end development of AI-powered features
- Optimize model performance and inference speed
- Work with product teams to define AI use cases
- Implement data pipelines for training and evaluation
- Ensure models meet accuracy and reliability standards
- Conduct experiments to validate AI approaches
- Maintain clean, documented, and testable code
- Monitor deployed models for performance degradation
- Iterate quickly based on user feedback and metrics
- Troubleshoot issues across the AI stack
- Integrate third-party APIs and tools when necessary
- Participate in technical planning and roadmap discussions
- Contribute to architectural decisions for long-term scalability
Nice to Have
- Advanced degree in computer science, AI, or related field
- Experience with large language models or NLP systems
- Knowledge of MLOps practices and tools
- Prior startup or founding team experience
- Published research in machine learning or AI conferences
Benefits
- Equity package included with compensation
- Flexible work hours and full remote setup
- Health insurance coverage for employees
- Annual professional development stipend
- Unlimited paid time off policy
- Home office equipment allowance
- Mental health and wellness resources
- Company-wide retreats and team events
- Parental leave policy
- Stocked kitchen for in-person meetups
Compensation
Competitive salary and equity offered
Work Arrangement
Remote
Team
Small, agile team building AI-driven solutions
About the Role
This is a hands-on engineering position at the forefront of AI development. You will shape the technical direction of the product and build systems that bring intelligent automation to real-world problems.
What We Value
We prioritize technical excellence, ownership, and a bias for action. Candidates should be self-driven, resourceful, and comfortable making decisions with limited guidance.
Visa sponsorship not available
