Senior Machine Learning Engineer

Capital Partners Mortgage LLC

Southern California, US
Base: $201,683-$322,693; bonus/equity: individual ...
On-site
Python software engineering
Production-grade systems
Generative ai systems
Capital Partners Mortgage LLC is seeking a Senior Machine Learning Engineer to design and implement Generative AI systems aimed at enhancing their investment processes. The ideal candidate should possess extensive software engineering experience, particularly in machine learning, and be capable of delivering scalable solutions while thriving in a collaborative and diverse work environment

Job Summary

  • We are seeking a strong software engineer with practical machine learning experience to design, build, and operate Generative AI systems that improve Capital Group’s investment process and outcomes.
  • You will work closely with investment professionals and engineering partners to translate ideas into reliable, production-grade systems.
  • You will join a high-performing team of ML engineers and software engineers building Generative AI and LLM-based capabilities, including multi-agent systems, semantic search, summarization, and document understanding pipelines.

Matching Summary

Match Score: 85

Capital Partners Mortgage LLC is seeking a Senior Machine Learning Engineer to design and implement Generative AI systems aimed at enhancing their investment processes. The ideal candidate should possess extensive software engineering experience, particularly in machine learning, and be capable of delivering scalable solutions while thriving in a collaborative and diverse work environment.

Salary

Base: $201,683-$322,693; Bonus/Equity: individual annual performance bonus, Capital's annual profitability bonus; Benefits: company-funded retirement contribution (15% of eligible earnings), generous time-away and health benefits, 2-for-1 matching gifts, annual grants

Skills & Requirements

Must-have

  • Python software engineering
  • production-grade systems
  • Generative AI systems
  • LLM-based capabilities
  • system design principles
  • cloud platforms
  • MLOps practices

Nice-to-have

  • Generative AI experience
  • LLM APIs
  • retrieval systems
  • agent-based architectures
  • ML lifecycle tooling
  • modern ML frameworks

Key Requirements

  • 7+ years professional software engineering
  • large scale production systems
  • cloud platforms, CI/CD, DevOps, MLOps
  • strong communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter