Sr. Machine Learning Engineer

Company Overview: Capital Group is one of the world's largest and most established investment management firms, founded in Los Angeles in 1931 with over $3 trillion in assets under management. The firm operates globally across equity, fixed income, and multi-asset strategies, serving long-term investors through a distinctive analyst-driven research model. Capital Group is privately held and employee-owned, with a culture that prioritizes intellectual rigor, collaboration, and long-term thinking over short-term performance pressure. Role Overview: 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. While curiosity and experimentation are important, this role emphasizes engineering rigor, system design, and delivering durable solutions at scale. 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. We value craftsmanship in software engineering, thoughtful problem solving, and a strong sense of ownership. Qualifications: 7+ years of professional software engineering experience, with strong proficiency in Python (or similar modern language). Demonstrated experience designing and building large scale production systems with solid architectural foundations. Strong understanding of system design principles, APIs, distributed systems concepts, and cloud-native development. Hands-on experience integrating machine learning models into production applications or services Experience with cloud platforms, CI/CD, DevOps, or MLOps practices for deploying and monitoring applications. Strong problem-solving ability — able to break down ambiguous problems into clear technical plans. Proven ability to own projects independently and drive them to completion. Strong communication skills and behavioral maturity; able to collaborate effectively with diverse stakeholders. Preferred (Nice to Have): Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures. Experience with ML lifecycle tooling such as experiment tracking, model versioning, monitoring, or CI/CD for ML systems Familiarity with model evaluation, monitoring, and performance trade-offs. Exposure to modern ML frameworks (e.g., PyTorch, HuggingFace, etc.). Experience reviewing research papers and translating relevant ideas into practical implementations. Compensation: Southern California Base Salary Range : $201,683-$322,693