Machine Learning Engineer 2

Ladders; United States; Remote; USD 129,000 - 170,000; Full time

Benefits offered by this job

Generous time off and wellness leave

Comprehensive healthcare coverage

Retirement savings program

Opportunities for equity participation

Job summary

Ladders is seeking a Machine Learning Engineer 2 for a remote role focused on building and improving ML systems that convert raw data into reliable customer insights. You will work with data, retrieval, and evaluation layers to speed access to information and improve production performance.

Partner with Product and ML teams to translate customer needs into scalable technical improvements, while contributing to memory quality benchmarks and robust observability practices.

Qualifications

• 5-7 years of experience building backend services with adaptability to new languages and frameworks.
• Curiosity in service management and a commitment to understanding system behavior in production.
• Experience or willingness to learn about evaluation and quality measurement systems.
• Strong knowledge of observability practices, including structured logging and metrics for debugging.
• Proficiency with AI-assisted development tools, applying them thoughtfully.

Responsibilities

• Build extraction pipelines that convert raw data into structured customer memory.
• Own the retrieval path for quick access to customer information using embeddings and vector search.
• Contribute to evaluation systems that measure memory quality and establish benchmarks.
• Diagnose production issues across data ingestion, extraction, and indexing paths.
• Collaborate with Product and ML teams to translate customer needs into system improvements.

Skills

Backend development

Observability

AI-assisted development tools

Embeddings and vector search

Tools

Embeddings

Vector search

Structured logging

Metrics for debugging

Job description

For our client, we are seeking a Machine Learning Engineer 2 to join the team of a leader in the Enterprise Technology space.

This role will focus on building and improving machine learning systems that turn raw data into reliable, structured customer insights. You will work on the data, retrieval, and evaluation layers that help the company’s platform deliver fast and accurate access to customer information. The position requires close partnership with Product and ML teams to translate customer needs into scalable technical improvements and stronger production performance.

Location: Remote

Compensation: $128,560 – $170,000 annually

Responsibilities

• Build extraction pipelines that convert raw data into structured customer memory
• Own the retrieval path for quick access to customer information using embeddings and vector search
• Contribute to evaluation systems that measure memory quality and establish benchmarks
• Diagnose production issues across data ingestion, extraction, and indexing paths
• Collaborate with Product and ML teams to translate customer needs into system improvements

Qualifications

• 5-7 years of experience building backend services with adaptability to new languages and frameworks
• Curiosity in service management and a commitment to understanding system behavior in production
• Experience or willingness to learn about evaluation and quality measurement systems
• Strong knowledge of observability practices, including structured logging and metrics for debugging
• Proficiency with AI-assisted development tools, applying them thoughtfully

Benefits

• Generous time off and wellness leave
• Comprehensive healthcare coverage
• Retirement savings program
• Opportunities for equity participation and corporate bonuses

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.