Gauss Labs · 6 months ago
AI Engineer - Machine Learning (US)
Palo Alto, CA
Full-time
Onsite
Mid Level
3+ years expGauss Labs aims to revolutionize manufacturing by building industrial AI systems beyond human capabilities. They are seeking an AI Engineer to develop cutting-edge Industrial AI solutions and ensure the integration of models into production environments, contributing to the success of AI initiatives across the company.
Artificial Intelligence (AI)Machine LearningManufacturing
Responsibilities
Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines
Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment
Own the end-to-end implementation of ML systems from research prototypes to production-grade code
Optimize model training/inference, latency, and resource usage to meet performance and system constraints
Develop monitoring, observability, and CI/CD tooling to support the full ML lifecycle in staging and production environments
Ensure engineering best practices in code quality, testing, documentation, and software reliability
Interface with product and engineering teams to understand requirements and drive integration of AI systems into user-facing applications
Qualification
Required
BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field
Proficiency in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structures
Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development
3+ years building production-ready ML infrastructure, including data pipelines, training/inference workflows, and deployment automation
Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience developing software applications and services with an understanding of design for scalability, performance, and reliability
Strong problem-solving skills, attention to detail, and a collaborative mindset when working with research and product teams
Preferred
MS or Ph.D. in Computer Science, Electrical Engineering, Machine Learning or related technical field
Knowledge of professional software engineering practices including source control management, code reviews, testing, and continuous integration/deployment
Experience in optimizing training and inferencing structures for large scale ML/DL models
Experience deploying machine learning models into production environments (e.g., batch, real-time, or edge deployments)
Experience in distributed/parallel systems, information retrieval, networking, and systems software development
Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform
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
Company data provided by crunchbase