--- title: 'AI Scientist - Machine Learning (KR/US) at Gauss Labs' canonical: 'https://feeny.ai/job/ai-scientist-machine-learning-kr-us-gauss-labs-palo-alto-8fggv3qzs4n1' type: 'job' last_seen: '2026-09-15' --- # AI Scientist - Machine Learning (KR/US) at Gauss Labs - **Company:** Gauss Labs - **Location:** Palo Alto, CA / Yeoksam, Seoul, South Korea - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2025-04-22 - **Last confirmed live:** 2026-09-15 - **Apply:** https://jobs.lever.co/gausslabs/dbfd0b6c-d2e9-460c-91a0-6dde6f29046d ## Job description We are seeking a highly motivated AI Scientist specializing in Machine Learning to join our growing AI R&D team. In this role, you will be at the forefront of developing and deploying cutting-edge deep learning models to solve real-world temporal modeling challenges in manufacturing. We’re looking for a candidate with strong practical R&D experience, grounded in solid theoretical fundamentals, and deep expertise in AI disciplines. The ideal candidate will have a deep understanding of state-of-the-art machine learning algorithms and techniques, a track record of impactful publications in top-tier conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, or ICCV, and a solid background in computer science and engineering. Experience collaborating with software engineering teams to scale and productize ML solutions is a strong plus. This is a high-impact role that combines foundational research, system-level design, and hands-on implementation. You’ll work closely with cross-functional teams to develop innovative solutions that guide strategic decisions and deliver tangible business value. ## 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. ## Key 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. ## About Gauss Labs ## Company Overview - **One-liner**: Gauss Labs revolutionizes manufacturing by building industrial AI solutions that leverage machine-generated data to make factories more intelligent. - **Entity Type**: Private (funded by a single corporate round in 2020) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2020 - **Founders**: Mike Young-Han Kim (CEO) ## Core Business - **Primary industry/industries**: Industrial AI, Semiconductor Manufacturing Intelligence, Software Development - **Target customers**: B2B – primarily large semiconductor manufacturers (e.g., SK hynix) and other advanced manufacturing firms - **Mission or purpose statement**: “We normalize AI. We revolutionize manufacturing.” – Gauss Labs aims to reshape manufacturing through innovative industrial AI systems beyond human capabilities. ## Products & Services - **Panoptes VM (Virtual Metrology)**: An AI-based solution that predicts wafer manufacturing process outcomes, enabling real-time process control and reducing the need for physical measurements. Deployed at SK hynix since 2023. - **Panoptes IM (Image Metrology)**: An end-to-end image metrology solution covering image processing, metrology, and analytics. Helps extract highly precise and repeatable measurements from manufacturing images. - **Manufacturing Data Intelligence (MDI) Solutions**: A broader suite of proprietary AI algorithms that turn machine-generated data into actionable insights for factory optimization. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total Funding – $55 million (corporate round, led by SK Hynix, September 2020) - **Notable Investors/Partners**: SK Hynix (sole investor and strategic partner), with published research at SPIE AL 2024 on AI-based semiconductor metrology. - **Growth Signals**: - Headcount growth of +2.8% YoY (64 employees as of 2025) - Active job postings in US and Korea (6 open roles) - Deployment of Panoptes VM at SK hynix’s wafer fabrication lines - Patent filings in end-to-end process control and anomaly detection (2024) ## Competitive Advantages - **Deep domain expertise**: Combines cutting-edge AI/ML knowledge with hands-on manufacturing domain knowledge, especially in semiconductor fabrication. - **Proprietary AI algorithms**: Developed in-house for manufacturing data intelligence, validated through real-world deployments at scale. - **Tight partnership with SK hynix**: Access to real-world manufacturing data and a channel for immediate impact, creating a strong moat in the semiconductor AI space. - **Global distributed team**: Offices in Palo Alto (HQ), Seoul, and Vancouver, enabling 24/7 development and close collaboration with Asian manufacturing hubs. ## Strategic Focus - **Current priorities**: Scaling its AI-based virtual metrology and image metrology solutions to additional semiconductor fabs and expanding into other manufacturing verticals. - **Growth direction**: Continued investment in R&D (patents, SPIE publications) and hiring for AI, software engineering, and forward-deployed roles to deepen product capabilities and customer reach. ## Why Work Here - **Culture highlights**: Gauss Labs emphasizes “normalizing AI” and values ownership, fearless experimentation, and collective learning. The company is described as having a balanced and inspiring leadership. - **Remote/hybrid/office policy**: - Palo Alto: Hybrid working environment - Seoul: Hybrid working environment - Vancouver: Full remote working environment - Generous PTO, flexible hours, and remote work options - **Notable perks**: Comprehensive health insurance (medical, vision, dental) for employees and dependents; 401(k) with company matching in the US; group insurance and private health plan in Korea; robust savings plans; career development programs; team-building events. - **Engineering culture**: High proportion of technical staff (38% technical, 14% research), with strong talent drawn from top companies like SK hynix, Samsung, Amazon, and AWS. Employees report a 3.8/5.0 employer rating (Work-Life 4.0, Compensation 4.2, Culture 3.5). ## Sources 1. [gausslabs.ai](https://www.gausslabs.ai/about-us) – About Us page 2. [gausslabs.ai](https://www.gausslabs.ai/career) – Careers page 3. [linkedin.com](https://linkedin.com/company/gauss-labs-ai) – LinkedIn company page (aggregated data) 4. [builtin.com](https://builtin.com/company/gauss-labs) – Built In company profile 5. [jobs.lever.co](https://jobs.lever.co/gausslabs) – Current job openings ## Other roles at Gauss Labs - [Senior Forward Deployed Operations Engineer (KR)](https://feeny.ai/job/senior-forward-deployed-operations-engineer-kr-gauss-labs-yeoksam-pha4cm0fy06g) — Yeoksam, Seoul, South Korea - [Senior Site Reliability Engineer (KR)](https://feeny.ai/job/senior-site-reliability-engineer-kr-gauss-labs-yeoksam-gdg4bf0588qt) — Yeoksam, Seoul, South Korea - [Senior Forward Deployed Product Manager (KR)](https://feeny.ai/job/senior-forward-deployed-product-manager-kr-gauss-labs-yeoksam-p0pv1avnyhey) — Yeoksam, Seoul, South Korea - [Senior Data Scientist - Manufacturing Data (KR)](https://feeny.ai/job/senior-data-scientist-manufacturing-data-kr-gauss-labs-yeoksam-7mxybzg57532) — Yeoksam, Seoul, South Korea - [Senior AI Engineer - Machine Learning (US)](https://feeny.ai/job/senior-ai-engineer-machine-learning-us-gauss-labs-palo-alto-my50txca82ab) — Palo Alto, CA - [Talent Pool (KR)](https://feeny.ai/job/talent-pool-kr-gauss-labs-yeoksam-fk05db67et2a) — Yeoksam, Seoul, South Korea - [Talent Pool (US)](https://feeny.ai/job/talent-pool-us-gauss-labs-palo-alto-n4vhgcyr9zdv) — Palo Alto, CA