Senior ML Platform Engineer: Scale, Observability & Infra

Expedia; San Jose (CA); On-site; USD 199,000 - 279,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Wellness stipend

Travel discounts

Job summary

Expedia Group is seeking a Senior Software Development Engineer for the ML Platform to design and evolve scalable machine learning platform capabilities. You will enable feature engineering, model inference, and observability while delivering high-quality software with strong engineering practices.

You will partner with engineers and stakeholders, balance near-term delivery with long-term maintainability, and help drive adoption of shared ML infrastructure and tools across the company.

Qualifications

• 8+ years of professional experience in software engineering or platform development.
• Strong proficiency in system design, low-level design, coding, testing, debugging, and performance optimization.
• Experience with machine learning platforms and data-intensive systems.

Responsibilities

• Design, build, and evolve scalable ML platform capabilities across multiple domains.
• Deliver high-quality software using sound engineering practices and maintainable designs.
• Improve reliability, performance, and observability in production environments.
• Collaborate with engineers and stakeholders to drive platform direction and adoption.

Skills

Ownership

System design

Coding

Testing

Performance optimization

ML platform understanding

Education

Bachelor's degree in Computer Science

Tools

ML Platform tools

Job description

Expedia Group is seeking a Senior Software Development Engineer for the ML Platform to design and evolve scalable machine learning platform capabilities. You will enable feature engineering, model inference, and observability while delivering high-quality software with strong engineering practices.

You will partner with engineers and stakeholders, balance near-term delivery with long-term maintainability, and help drive adoption of shared ML infrastructure and tools across the company.