We're looking for the following titles (research engineer, applied machine learning engineer, or MLE. $180-270K for SF, $250K max outside the bay + Equity.
You will bring models together, and think through how the team can process pipelines around deep models. Signals that you are a fit include.
- Has worked on model orchestration (managing multiple models, tests, and workflows)
- Experience in one of the following affective computing (research around how machines can recognize, understand, and respond to human emotions), human-AI interaction, multimodal AI (text/speech/vision) or MoE (mixture of experts focus), mix avatars/3D-Reconstruction.
- You may have been working on AI agents/conversational systems/AI copilots, or you are just a fantastic ML-focused SWE who can learn fast!
- Not afraid to go deep
This is a series A start-up in San Francisco that has built a product with good PMF, has good funding and an intelligent group of engineers. You will like them.
