About the Role
Design, develop, and maintain full-stack features for a data intelligence platform that helps machine learning teams train models more efficiently with less data.
Responsibilities
- Develop user-facing features and backend services for a machine learning optimization tool
- Collaborate with product and research teams to integrate AI capabilities into the platform
- Improve application performance, scalability, and reliability
- Write clean, maintainable, and well-tested code across frontend and backend systems
- Contribute to architectural decisions and system design
- Support deployment pipelines and infrastructure automation
- Monitor and resolve production issues promptly
- Participate in code reviews and team knowledge sharing
- Enhance user experience based on feedback and usage data
- Maintain documentation for code and system workflows
Nice to Have
- Background in machine learning or data science tools
- Experience with active learning or data curation systems
- Contributions to open-source projects
- Familiarity with React and modern frontend state management
- Knowledge of distributed systems design
Benefits
- Equity in a high-potential startup
- Flexible working hours and remote setup
- Annual learning and development budget
- Health and wellness allowances
- Team offsites and company retreats
- Modern equipment and home office support
- Inclusive and international work environment
Compensation
Competitive salary and equity package
Work Arrangement
Remote-first with flexible hours
Team
Small, agile team focused on AI-driven data optimization
About the Role
You will play a key role in shaping a platform that enables AI teams to reduce data labeling costs and improve model performance through intelligent data selection.
Tech Stack
- Frontend: React, TypeScript, Apollo
- Backend: Python, FastAPI, Celery
- Infrastructure: AWS, Kubernetes, Terraform
- Databases: PostgreSQL, MongoDB
Our Mission
We empower machine learning teams to build better models faster by making data curation efficient and automated.
Growth & Impact
As an early engineer, you’ll have significant influence on product direction, architecture, and company culture.
Application Process
- Submit your resume and GitHub profile
- Complete a short technical screening
- Meet with team members in two interview rounds
Available for qualified candidates
