Machine Learning Engineer

Qualifications

• 5-7 years of experience in machine learning or computer vision, especially with image/video models.
• Strong proficiency in deep learning frameworks like TensorFlow or PyTorch.
• Experience with distributed training across large datasets in high-performance computing environments.
• Demonstrated ability to produce results with publications or open-source projects related to AI creativity tools.
• Creative problem-solving skills and willingness to iterate on research ideas.

Responsibilities

• Train advanced diffusion models for generating images and videos.
• Develop and implement controllability models like IPAdapters or ControlNets.
• Execute large-scale experiments leveraging high-performance computing resources.
• Optimize data pipelines to manage massive image datasets efficiently.
• Translate novel research techniques into practical applications for creative tools.

Benefits

• Collaborative work environment with a focus on innovation and creativity.
• Access to cutting-edge technology and resources for ML experimentation.
• Opportunity to shape the future of AI in creative domains through impactful projects.
• Supportive team culture with a focus on professional development and growth.
• Backed by leading investors and influencers in the AI and tech industry.