About Snappr
Snappr is the largest on-demand photography service in the world. We make stunning photography accessible and affordable, for everyone from consumers to big business. We now cover 200+ cities and that is just the beginning. Our tech automates everything from photographer matching to editing. Our thousands of photographers love us because we automate away the things they hate and let them focus on taking amazing photos. We are backed by the likes of Y Combinator and the founders of Google Maps and Zynga. We're on a mission to raise the quality of photography on the web and in the world.
About the AI Engineer role
We are seeking a Senior AI Engineer to help us speed up the improvements in our AI image generation automation. The ideal candidate will have a track record of fine tuning VLMs (Mutli Modal Models). Proficiency in Python, along with familiarity with machine learning libraries such as PyTorch, is essential. We work in a Typescript tech stack, and it would be great if you had experience in this stack as well. This is a unique opportunity to join Snappr's elite engineering team in San Francisco, at the forefront of one of the world's fastest-growing consumer marketplaces.
Responsibilities
- Automating our AI Image Generation.
- Deploy these models to production, ensuring efficient performance.
- Collaborate with cross-functional teams for broader product integration.
- Keep up to date with the latest advancements in machine learning and artificial intelligence.
- Taking a leading role in building an engineering culture built on rapid iteration and continuous improvement.
Requirements
- Experience in training and fine-tuning VLMs (Multi Modal Models).
- Proficiency in Python and machine learning frameworks like PyTorch.
- Experience working in a Typescript tech stack.
- Excellent problem-solving and communication skills.
- Excellent communication skills and experience working with international teams.
- Bachelor degree in engineering.
- Experience with ML OPs is a plus.
- Experience working in infrastructure is a plus.
- Experience deploying to GCP and AWS is a plus.
- Experience working as part of one of the labs that created a T21 model is a plus.