Senior Machine Learning Engineer

About the Role 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. This role emphasizes engineering rigor, system design, and delivering durable solutions at scale. Key Responsibilities Design and implement scalable, production‑quality systems that incorporate machine learning and Generative AI components. Take end‑to‑end ownership of technical projects, from system design through implementation and operational excellence. Collaborate with cross‑functional partners to translate ambiguous problems into well‑structured technical solutions. Maintain a high bar for code quality, testing, clarity, and reliability. Contribute to architectural decisions, ensuring systems are maintainable, extensible, and resilient. Apply sound engineering judgment when integrating ML models into larger distributed systems. Operate with urgency, ownership, humility, and strong collaboration across teams. Required Experience 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 Experience 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 & Benefits Southern California Base Salary Range: $201,683–$322,693. In addition to a highly competitive base salary, you will be eligible for an individual annual performance bonus, Capital’s annual profitability bonus, and a retirement plan where Capital contributes 15% of your eligible earnings. EEO Statement We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. #J-18808-Ljbffr SwiftCruit