Machine Learning Engineer (Diffusion/Vision) - Remote

Overview

This role focuses on transforming visual models into real-world applications by building impactful AI systems for a global audience.

In Short

• Fine-tune and customize diffusion models using efficient training methods.
• Build, clean, and annotate large-scale image datasets.
• Design evaluation processes for generated outputs.
• Optimize performance with advanced training techniques.
• Deploy features into production and monitor performance.
• Collaborate across teams to integrate AI capabilities into user experiences.
• Work independently with ownership over projects.
• Adapt to changing priorities in a startup environment.
• Continuous self-improvement and feedback acceptance.
• Contribute to a high-performance team culture.

Requirements

• Strong experience with diffusion models and generative vision.
• Hands-on skills with fine-tuning methods.
• Proficiency in PyTorch.
• Experience in dataset preparation.
• Knowledge of GPU optimization techniques.
• Strong foundations in software engineering.

Benefits

• Flat structure with real project ownership.
• Involvement in decision-making processes.
• Flexible work arrangements.
• High-impact role with visibility across teams.
• Competitive compensation and performance bonuses.
• Global exposure in product development.
• Comprehensive benefits including health insurance.
• Unlimited flexible time off.