We build Industrial AI for the world's leading manufacturers for real production data with real yield impact. We are currently building our own tabular foundation models (pretraining, fine-tuning, serving at scale) and Transformer architectures for time-series forecasting on noisy, sparse, irregularly sampled sensor data.
Senior AI Engineer - ML (Palo Alto): own the training/serving/monitoring infrastructure for our foundation models and take them from prototype to production. Python, PyTorch, Docker/K8s, CI/CD; 3+ yrs production ML infra; BS+6 or MS/PhD+4. Distributed multi-GPU training a plus. [https://jobs.lever.co/gausslabs/13bb4715-22f7-40a7-a941-4612...](https://jobs.lever.co/gausslabs/13bb4715-22f7-40a7-a941-46121f1ff946)
AI Scientist - ML (Palo Alto or Seoul): design Transformer-based sequence models for manufacturing time series, own EDA through deployment, publish and patent. MS/PhD, 3+ yrs deep learning on time series, PyTorch, top-tier pubs. [https://jobs.lever.co/gausslabs/dbfd0b6c-d2e9-460c-91a0-6dde...](https://jobs.lever.co/gausslabs/dbfd0b6c-d2e9-460c-91a0-6dde6f29046d)