Transformer ML Scientist - Time-Series AI for Production

Gausslabs; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Gausslabs in Palo Alto seeks an AI Scientist specializing in Machine Learning to advance time-series modeling for manufacturing. You will design Transformer-based architectures and lead end-to-end ML development from data exploration to deployment.

The ideal candidate has a PhD, 3+ years of deep learning experience with sequence modeling, and a strong track record of applying modern ML methods to real-world problems. This role combines research and product-focused impact.

Qualifications

• PhD required in Computer Science, ML, Statistics, or related field.
• 3+ years hands-on experience in deep learning with sequence modeling and time-series forecasting.
• Expertise in Transformer architectures beyond NLP.
• Proficiency in Python and DL frameworks (PyTorch/TensorFlow/JAX).
• Strong mathematical foundation in statistics and optimization.
• Experience deploying ML models in production with MLOps practices.
• Publications in top ML/AI venues is a plus.

Responsibilities

• Design and implement Transformer-based architectures for time-series prediction and sequence modeling.
• Drive the full ML lifecycle—from data analysis to model deployment and monitoring.
• Conduct rigorous benchmarking, ablation studies, and performance optimization.
• Collaborate with data scientists, engineers, and product managers to translate requirements.
• Partner with software engineers to scale and productize ML algorithms in manufacturing AI software.
• Contribute to Gauss Labs’ IP portfolio through patents and high‑impact publications.
• Mentor junior team members and shape the team’s AI roadmap and long‑term strategy.

Skills

Transformer architectures

Time-series modeling

Deep learning

Sequence modeling

Python

PyTorch

TensorFlow

JAX

MLOps

Research to production

Education

PhD in Computer Science/ML/Statistics

Tools

Python

PyTorch

TensorFlow

JAX

Job description

Gausslabs in Palo Alto seeks an AI Scientist specializing in Machine Learning to advance time-series modeling for manufacturing. You will design Transformer-based architectures and lead end-to-end ML development from data exploration to deployment.

The ideal candidate has a PhD, 3+ years of deep learning experience with sequence modeling, and a strong track record of applying modern ML methods to real-world problems. This role combines research and product-focused impact.