Time-Series Transformer ML Scientist

Gauss Labs; Palo Alto (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Gauss Labs is seeking an AI Scientist with a focus on Machine Learning to drive transformative time-series modeling in manufacturing. You will design Transformer-based solutions, own the ML lifecycle from data exploration to deployment, and collaborate with cross-functional teams to deliver scalable AI software.

The role emphasizes production-ready ML, performance optimization, and contributing to IP through publications and patents. A PhD and strong publication record are highly valued.

Qualifications

• Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
• 3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.
• In-depth expertise in Transformer architectures and their applications beyond natural language processing.
• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Solid mathematical foundation in statistics, optimization, and signal processing.
• Familiarity with hybrid modeling approaches that combine deep learning and traditional statistical methods.
• Experience working with noisy, sparse, or irregularly sampled time-series data.
• Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).
• Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.
• Nice to have Familiar with state-of-the-art neural networks architecture. Preferably had experience in innovation in new architecture such as transformer based models

Responsibilities

• Design and implement Transformer-based architectures for time-series prediction and sequence modeling, across both univariate and multivariate data
• Drive the full machine learning lifecycle—from exploratory data analysis to model deployment, monitoring, and continuous improvement
• Conduct rigorous benchmarking, ablation studies, and performance optimization to ensure robustness and efficiency
• Collaborate closely with data scientists, engineers, and product managers to translate complex business requirements into scalable technical solutions
• Partner with software engineers to scale and productize ML algorithms within manufacturing AI software products
• Contribute to Gauss Labs' intellectual property portfolio through patents and high-impact technical publications
• Mentor junior team members and play an active role in shaping the team's AI roadmap and long-term strategy

Skills

Transformer architectures

Sequence modeling

Time-series forecasting

Python

PyTorch

TensorFlow

JAX

Statistical methods

ML deployment

ML lifecycle

Education

Ph.D. in Computer Science or ML

Tools

PyTorch

TensorFlow

JAX

Job description

Gauss Labs is seeking an AI Scientist with a focus on Machine Learning to drive transformative time-series modeling in manufacturing. You will design Transformer-based solutions, own the ML lifecycle from data exploration to deployment, and collaborate with cross-functional teams to deliver scalable AI software.

The role emphasizes production-ready ML, performance optimization, and contributing to IP through publications and patents. A PhD and strong publication record are highly valued.