Senior Machine Learning Engineer

Capital Group

Southern California, USA
Base: $201,683-$322,693; bonus/equity: individual ...
On-site
Production-grade systems
Engineering rigor
System design
Capital Group is seeking a Senior Machine Learning Engineer to design and implement Generative AI systems that enhance their investment processes. The ideal candidate should possess extensive software engineering experience, particularly in building scalable production systems, and demonstrate strong collaboration and problem-solving skills

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 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.
  • You will receive a competitive salary, bonuses and benefits.

Matching Summary

Match Score: 85

Capital Group is seeking a Senior Machine Learning Engineer to design and implement Generative AI systems that enhance their investment processes. The ideal candidate should possess extensive software engineering experience, particularly in building scalable production systems, and demonstrate strong collaboration and problem-solving skills.

Salary

Base: $201,683-$322,693; Bonus/Equity: individual annual performance bonus, Capital’s annual profitability bonus; Benefits: retirement plan where Capital contributes 15% of eligible earnings, generous time-away and health benefits

Skills & Requirements

Must-have

  • production-grade systems
  • engineering rigor
  • system design
  • delivering durable solutions
  • Generative AI and LLM-based capabilities
  • craftsmanship in software engineering
  • thoughtful problem solving
  • strong sense of ownership
  • scalable, production-quality systems
  • end-to-end ownership
  • architectural decisions
  • sound engineering judgment
  • strong software engineering skill

Nice-to-have

  • investing process and outcomes
  • investment professionals
  • engineering partners
  • ambiguous problems
  • cross-functional partners
  • diverse stakeholders
  • humility
  • curiosity
  • Generative AI
  • LLM APIs
  • retrieval systems
  • agent-based architectures
  • ML lifecycle tooling
  • model evaluation
  • performance trade-offs
  • modern ML frameworks
  • research papers

Key Requirements

  • 7+ years of professional software engineering experience
  • strong proficiency in Python
  • large scale production systems
  • system design principles
  • APIs
  • distributed systems concepts
  • cloud-native development
  • integrating machine learning models
  • cloud platforms
  • CI/CD
  • DevOps
  • MLOps practices
  • strong problem-solving ability
  • own projects independently
  • collaborate effectively
  • Generative AI
  • LLM APIs
  • retrieval systems
  • agent-based architectures
  • ML lifecycle tooling
  • experiment tracking
  • model versioning
  • monitoring
  • CI/CD for ML systems
  • model evaluation
  • monitoring
  • performance trade-offs
  • modern ML frameworks
  • PyTorch
  • HuggingFace
  • reviewing research papers

Work Rights

Not specified

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