About the Role
The role involves developing and refining machine learning models used in image synthesis and creative workflows, ensuring high performance, scalability, and accuracy across diverse applications.
Responsibilities
- Design and implement scalable machine learning models for image generation
- Optimize model inference speed and training efficiency
- Collaborate with research teams to prototype new AI capabilities
- Improve model accuracy and reduce artifacts in generated outputs
- Deploy models into production environments with monitoring tools
- Maintain and update existing machine learning pipelines
- Conduct experiments to evaluate model variations
- Integrate user feedback into model improvements
- Ensure models comply with ethical and safety standards
- Work closely with engineering and product teams to align development goals
- Troubleshoot issues in model behavior and data pipelines
- Develop tools for automated model testing and validation
- Contribute to documentation for model architecture and usage
- Stay current with advancements in generative AI and computer vision
- Support versioning and reproducibility of model training runs
Nice to Have
- Experience in generative AI applications
- Contributions to open-source machine learning projects
- Familiarity with creative software workflows
- Research publications in AI or computer vision
- Experience with real-time inference systems
Compensation
Competitive salary and equity package
Work Arrangement
Remote-first with flexible hours
Team
Collaborative team focused on AI-driven creative tools
About Us
We build AI-powered tools that empower creators to generate high-quality visual content efficiently and intuitively.
Culture & Values
- We value technical excellence, creative problem-solving, and transparency.
- Team members are encouraged to experiment and iterate quickly while maintaining high standards.
Available for qualified candidates
