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