Gauss Labs · 8 months ago
AI Scientist - Machine Learning (US)
Palo Alto, CA
Full-time
Hybrid
Mid Level
3+ years expGauss Labs aims to revolutionize manufacturing by building industrial AI systems beyond human capabilities. They are seeking a highly motivated AI Scientist specializing in Machine Learning to join their growing AI R&D team, focusing on developing and deploying cutting-edge deep learning models for real-world challenges in manufacturing.
Artificial Intelligence (AI)Machine LearningManufacturing
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
Qualification
Required
Ph.D. or Master's degree 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
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
Preferred
Experience collaborating with software engineering teams to scale and productize ML solutions
Familiarity with hybrid modeling approaches that combine deep learning and traditional statistical methods
Company
Gauss Labs
Gauss Labs aims to revolutionize manufacturing by building industrial AI systems beyond human capabilities.
11-50 employees
H1B Sponsorship
Gauss Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (4)
2023 (1)
2022 (2)
Funding
Current Stage
Early StageTotal Funding
$55MKey Investors
SK Hynix
2020-09-22Corporate Round· $55M
Recent News
2025-05-04
2025-02-08
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