PromptHero

Education Requirements:

• Bachelor’s degree in Computer Science, AI, Linguistics, or a related field (or equivalent experience).

Experience Requirements:

• Proficient in AI technologies with a strong grasp of natural language processing.

• Creative thinker with an eye for design and a passion for art.

• Excellent problem-solving skills and the ability to think outside the box.

• Experience in a collaborative tech environment, with a knack for clear communication.

Responsibilities:

• Design and optimize prompts that guide our AI in generating breathtaking visual content.

• Collaborate with our AI and creative teams to refine algorithms that understand and interpret artistic instructions.

• Conduct research and experiments to enhance the intuitiveness and effectiveness of AI-generated images.

• Be a part of a creative ecosystem, contributing to a tool that empowers artists and content creators worldwide.

Experience Requirements:

• Strong Python skills, including Pandas

• Solid Foundation of programming, algorithms, and computer basics, good coding style, strong hands-on ability

• Familiar with Stable Diffusion

• Development and deployment of ETL, data engineering, APIs, and scraping

• Database: SQL, NoSQL (MongoDB), ORM Basic DevOps with experience in AWS Familiar with git, have experience with CI/CD Familiar with Linux Familiar with Docker Bonus: Machine Learning, Statistics, Deep Learning Bonus: Graph theory

Benefits:

• 🌎 Distributed team

• ⏰ Async

• 🏖 Unlimited vacation

• 👀 No monitoring system

• 🚫 No politics at work

Experience Requirements:

• Extensive knowledge of Python, diffusers, Cog, and Replicate.

• A balance of software engineering and machine learning skills.

• You can squeeze every last drop of performance out of a GPU.

• Ideally, you're involved in the generative AI community and familiar with diffusion models and similar techniques.

• You don't need a PhD or know how to build new architectures from scratch.

Responsibilities:

• Optimizing our existing headshot generation pipeline code to be as photorealistic as possible.

• Experiment with Dreambooth and all variables like user uploads, training steps, etc.

• Implementing new image-gen pipelines like LoRa.

• General code and speed improvements.

• Experimenting with newly published models and how these could be utilized.