Build and deploy ML models that power our AI website builder. Develop sophisticated machine learning models for automated web design, recommendation systems, and intelligent layout generation. Requires 3+ years ML engineering experience with Python, TensorFlow/PyTorch, computer vision, NLP, and MLOps.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Odins3
Remote / Seattle
Full-time
Posted 923 days ago
AI Development
3+ years
$160K - $220K
0.05% - 0.2% equity
Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development.
About This Role
Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically.
This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization.
Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users.
Requirements
- 3+ years ML engineering experience
- Strong Python, TensorFlow/PyTorch background
- Experience with computer vision and NLP
- Knowledge of web technologies and design principles
- Experience with MLOps and model deployment
- Understanding of design systems and UI/UX principles
- Experience with cloud platforms (AWS, GCP, Azure)
- Knowledge of containerization and orchestration
- Experience with A/B testing and experimentation
- Strong data analysis and visualization skills
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- Develop ML models for automated web design
- Build recommendation systems for design elements
- Implement computer vision for image processing
- Deploy and monitor ML models in production
- Research and prototype new AI capabilities
- Optimize model performance and accuracy
- Build data pipelines for training and inference
- Collaborate with design team on AI-generated layouts
- Implement MLOps best practices
- Contribute to ML platform and infrastructure
Python
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
Computer Vision
NLP
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Docker
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Benefits & Perks
Competitive salary: $160K - $220K
Equity package: 0.05% - 0.2%
Comprehensive health coverage
Unlimited PTO and flexible hours
$4,000 annual learning budget
Top-tier hardware and equipment
Remote work stipend
Conference attendance support
Health and wellness benefits
Team building and social events
Work Environment & Team
Work Environment
Fully remote with optional quarterly in-person sessions. Flexible schedule with some overlap with PST hours.
Reporting Structure
Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team.
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