Senior Machine Learning Engineer504 CGCG-US CG Companies Global-US • Seattle, Washington, United States

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Senior Machine Learning Engineer

504 CGCG-US CG Companies Global-US

Seattle, Washington, United States

Seattle, Washington, United States

About

Job 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. 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 8+ years of professional software engineering experience, with strong proficiency in Python (or a 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 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. What We Value Most Engineering excellence, ownership, sound judgment, humility, collaboration, and curiosity. Benefits Competitive base salary, performance bonuses, 15% retirement contribution, generous time‑away and health benefits, flexible work options, matching charitable donations, and professional development resources. EEO Statement We are an equal opportunity employer and 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, and status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.
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Seattle, Washington, United States

Languages

English

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