Machine Learning Engineer

We are a YC-backed startup in the industrial automation space. We are a small, agile, hard-working team that values high-performance design and breaking old paradigms. Come join us in our offices in San Francisco.

Requirements: - Experience with AI models running on real-world sensor data (cameras, lidars, microphones, other sensors). Candidates with AI knowledge on dimensionless data will not be a good fit. They should be able to describe how data collected from sensors is different than a dataset ready-made downloaded from the internet. - 2-3 years of applied work (outside of university) in a commercial company. - Deeply familiar with development of Deep learning models from scratch, and customizing existing models. Can tell clearly the difference and give examples from experience. - Understating of the model development life cycle: data set creation->training->hyperparameters optimization->integration

Bonus: - video understanding, - camera fusion, - 3D reconstruction, - AWS SageMaker framework, - real-time inference using ONNX or TensorFlow RT, - edge inference on Nvidia Jetson or similar, - building models with small dataset, - classical machine learning models experience