Machine Learning Engineer (Diffusion/Vision) - Remote

Overview

This role involves transforming visual models into real-world applications, focusing on building impactful AI solutions for a global audience.

In Short

• Fine-tune and adapt diffusion models using methods like LoRA and DreamBooth.
• Build, clean, and annotate large-scale image datasets.
• Design evaluation processes for generated images.
• Optimize performance with GPU techniques and distributed training.
• Deploy features into production and monitor performance.
• Collaborate with product and design teams for user experience integration.

Requirements

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

Benefits

• Flat structure with real ownership.
• Flexibility in work arrangements.
• High-impact role with visibility across teams.
• Top-of-market compensation and bonuses.
• Global exposure to product development.
• Comprehensive benefits including health insurance and flexible time off.