The role involves transforming visual models into real-world applications, focusing on building AI systems for a global audience.
This position is remote and requires collaboration with regional teams across product, engineering, operations, infrastructure, and data to build and scale impactful AI solutions.
Responsibilities include fine-tuning state-of-the-art models, designing evaluation frameworks, and bringing AI features into production to ensure models are intelligent, safe, trustworthy, and impactful at scale.
Key tasks include training and customizing diffusion models using methods like LoRA and DreamBooth, curating large-scale image datasets, developing evaluation pipelines, optimizing performance, deploying features into production, and collaborating with product and design teams.
Requirements:
Candidates must have strong experience with diffusion models and generative vision, including technologies like Stable Diffusion, SDXL, and Flux.
Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods are required.
Proficiency in PyTorch is preferred.
Experience in dataset preparation, including captioning, tagging, filtering, and augmentation, is necessary.
Knowledge of GPU optimization, latent diffusion, and efficient training techniques is essential.
A strong foundation in software engineering, algorithms, and clean code practices is required.
Benefits:
The position offers a flat structure with real ownership and full involvement in direction and consensus decision-making.
There is flexibility in work arrangements and a high-impact role with visibility across product, data, and engineering.
Compensation is top-of-market with performance-based bonuses.
Employees receive global exposure to product development and various perks, including housing rental subsidies, a quality company cafeteria, and overtime meals.
Health, dental, and vision insurance are provided, along with global travel insurance for employees and their dependents.