• are obsessed with keeping up with the state of the art in creative multimodal ML research, especially in areas like fine-tuning and latent diffusion
• implement papers as a learning exercise or for creative projects
• have worked with and/or scaled GPU backends in the past
• frequently browse places like r/StableDiffusion for new hacks / tricks
• have fine tuned your own models for fun
• see yourself as a target user for Wand
have an interest/background in some of the following
• gaming / game-dev / world building
• concept art (fantasy, scifi, anime/manga, fashion, etc)
• traditional creative tools like Procreate and Photoshop
• fine arts / art history
• scaling, maintaining, & optimizing Wand’s GPU cloud backend
• contributing to ML research efforts + integrating them into our GPU backend
• developing hacks to improve the UX + output quality for our various ML tools
• leading MLOps + dataset building & curation
• improving fine tuning techniques through systematic experimentation
• train new models for case studies/users who are failing to get optimal results
• 3+ yrs Pytorch experience with strong ML fundamentals
• 3+ yrs backend scaling experience
• experience building ML architectures from scratch
• experience working with GPU backend services
• great communication skills
• scientific / experimenter mindset
• quick learner, looking to dedicate yourself to a project