Jobs at Gauss Labs

Own major software components and services from design through production operation. Deliver complex features, lead technical discussions, contribute to architecture, respond to incidents, improve testing and CI/CD, and mentor engineers. Collaborate with product, AI science, customer engagement, and international engineering teams to build ML-based software for industrial and semiconductor customers.

Leads and develops a data science team focused on manufacturing and AI solutions. Combines people management with hands-on technical judgment, guiding problem framing, analytical and modeling approaches, technical reviews, and delivery plans. Partners with Product, AI/ML, Engineering, SRE, Team Leads, and customer-facing teams to deliver reliable solutions, manage risks, improve team practices, and support hiring and career development.

Own the full lifecycle of scalable, reliable software systems, from design and implementation through production operation. Translate requirements into delivery plans, coordinate cross-team interfaces and dependencies, lead releases, resolve incidents, improve testing and CI/CD, review code and designs, document technical decisions, and mentor engineers. The role may also involve production ML systems, event streaming, large databases, Kubernetes, and industrial or semiconductor data.

Develop customized AI and data science solutions for manufacturing customers. Analyze real-time manufacturing data, build tailored models and analytical tools, identify product opportunities, and collaborate with clients and cross-functional teams to deliver scalable solutions aligned with product strategy. The role requires Python proficiency, Korean fluency, domestic travel up to 20%, and benefits from manufacturing, semiconductor, database, Git, and MLOps experience.

Lead development of customized AI solutions for manufacturing clients. Analyze manufacturing data, build predictive models and tools, identify product opportunities, collaborate with customers and internal teams, and present data-driven findings to technical and non-technical stakeholders.

Independently manage talent acquisition in Korea while coordinating recruiting agencies and stakeholders in the US and Korea. Develop sourcing strategies, market maps, job postings, candidate pipelines, and talent networks for AI, machine learning, data science, and software engineering roles. Manage candidate communication, interview scheduling, recruiting documentation, applicant tracking, and the full hiring process while delivering a positive candidate experience.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

Own platform reliability for internal cloud and customer-managed environments: maintain Kubernetes/EKS clusters, monitoring, alerting, incident first-response, automation, capacity planning, CI/CD, and drive continuous improvement to keep Panoptes available, performant, and scalable.

The Senior Data Scientist will lead the development of AI solutions for manufacturing, analyze data, interact with customers, and collaborate with teams to design innovative products.

Develop robust AI/ML solutions for manufacturing, collaborating with scientists to build scalable infrastructure, optimizing ML systems, and ensuring code quality.