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AI Engineer - Machine Learning (US)Gauss Labs • United States
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AI Engineer - Machine Learning (US)

Gauss Labs
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  • +12
  • US
    United States
  • +3
  • +12
  • US
    United States
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About

Join to apply for the AI Engineer - Machine Learning (US) role at Gauss LabsContinue with Google Continue with GoogleJoin to apply for the AI Engineer - Machine Learning (US) role at Gauss LabsGauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level.As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea.ResponsibilitiesCollaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelinesBuild and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deploymentOwn the end-to-end implementation of ML systems from research prototypes to production-grade codeOptimize model training/inference, latency, and resource usage to meet performance and system constraintsDevelop monitoring, observability, and CI/CD tooling to support the full ML lifecycle in staging and production environmentsEnsure engineering best practices in code quality, testing, documentation, and software reliabilityInterface with product and engineering teams to understand requirements and drive integration of AI systems into user-facing applicationsKey QualificationsBS in Computer Science, Electrical Engineering, Machine Learning, or related technical fieldProficiency in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structuresStrong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development3+ years building production-ready ML infrastructure, including data pipelines, training/inference workflows, and deployment automationSolid 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 reliabilityStrong problem-solving skills, attention to detail, and a collaborative mindset when working with research and product teamsPreferred QualificationsMS or Ph.D. in Computer Science, Electrical Engineering, Machine Learning or related technical fieldKnowledge of professional software engineering practices including source control management, code reviews, testing, and continuous integration/deploymentExperience in optimizing training and inferencing structures for large scale ML/DL modelsExperience 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 developmentDevelopment experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud PlatformSeniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Gauss Labs by 2xSign in to set job alerts for “Artificial Intelligence Engineer” roles.Continue with Google Continue with GoogleContinue with Google Continue with GoogleSoftware Engineer, AI Platform - New GradMachine Learning Engineer (I, II, or Sr.)San Jose, CA $120,700 - $228,600 1 week agoSan Jose, CA$120,700.00-$228,600.001 week agoSan Jose, CA$113,500.00-$250,000.006 days agoMenlo Park, CA$180,000.00-$200,000.004 weeks agoPalo Alto, CA$150,000.00-$220,000.003 weeks agoMachine Learning Engineer (I, II, or Sr.)San Jose, CA$119,000.00-$177,000.001 day agoMountain View, CA$167,200.00-$250,800.002 weeks agoSunnyvale, CA$141,000.00-$202,000.002 weeks agoSan Jose, CA$120,700.00-$228,600.001 week agoSan Mateo, CA$140,000.00-$210,000.002 weeks agoSunnyvale, CA$141,000.00-$202,000.002 weeks ago2025 University Graduate - AI/ML EngineerSan Jose, CA $85,500 - $163,500 1 week agoCupertino, CA $1,000 - $20,000 1 month agoSan Francisco Bay Area $115,000 - $185,000 3 weeks agoSan Jose, CA $120,700 - $228,600 2 weeks agoSanta Clara, CA $148,909 - $252,000 4 months agoSan Jose, CA $120,700 - $301,200 1 week agoSan Jose, CA $130,000 - $182,000 10 months agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Nice-to-have skills

  • C++
  • Docker
  • Git
  • Google Cloud Platform
  • Java
  • Kubernetes
  • Numpy
  • Pandas
  • PyTorch
  • Python
  • Scikit-learn
  • TensorFlow
  • United States

Work experience

  • Data Engineer
  • Fullstack
  • Machine Learning

Languages

  • English
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