Senior AI/ML Observability Engineer - Remote

Gavroche; Menlo Park (CA); Remote; USD 221,000 - 288,000; Full time

Job summary

Snowflake is seeking a Senior Software Engineer to design, develop, and maintain AI/ML observability systems and backend infrastructure for large-scale data processing.

You will implement techniques for ML model monitoring and data movement, lead ML infrastructure enhancements, and contribute to scalable Generative AI capabilities while ensuring performance and reliability. Telecommuting permitted.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science/IT/EE or related field, plus five years of progressive experience.
• Experience designing and building database systems, compilers, and developer tools.
• Experience developing applications in Java.
• Proficiency with SQL and other database technologies, including internal components.
• Experience designing data warehouses and large-scale data processing solutions.
• Contributing to ASF open-source projects in big data or Hadoop ecosystems is a plus.
• Experience with implementation, testing, debugging, documentation, and compiler design tasks.

Responsibilities

• Design, develop, and maintain core AI/ML observability infrastructure and backend for large-scale data processing.
• Implement and optimize techniques such as sketch-based data aggregation and ML metrics for monitoring ML/Generative AI models.
• Develop and enhance ML infrastructure for training, deployment, and monitoring at scale.
• Build platform features enabling scalable ML/Generative AI use cases with improved performance and reliability.
• Serve as technical lead for ML observability, data infrastructure, and model explainability for customer-facing AI products.

Skills

Database systems

Compilers & tools

Java development

SQL databases

Data warehousing

Open source contribs

Compiler design

Education

Bachelor's degree in CS or related field

Job description

Snowflake is seeking a Senior Software Engineer to design, develop, and maintain AI/ML observability systems and backend infrastructure for large-scale data processing.

You will implement techniques for ML model monitoring and data movement, lead ML infrastructure enhancements, and contribute to scalable Generative AI capabilities while ensuring performance and reliability. Telecommuting permitted.