About the position
Wand is looking for an ML Engineer passionate about creative tools to spearhead our backend GPU and applied research efforts. This role is designed for someone who is deeply engaged with the latest advancements in creative multimodal ML research, particularly in areas such as fine-tuning and latent diffusion. The ideal candidate will have a strong background in implementing research papers, scaling GPU backends, and a genuine interest in creative applications of machine learning.
Responsibilities
- 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
- Training new models for case studies/users who are failing to get optimal results
Requirements
- 3+ years Pytorch experience with strong ML fundamentals
- 3+ years 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
Nice-to-haves
- Interest/background in gaming / game-dev / world building
- Interest/background in concept art (fantasy, scifi, anime/manga, fashion, etc)
- Interest/background in traditional creative tools like Procreate and Photoshop
- Interest/background in fine arts / art history
