About the role
- We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace. We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community. “I can influence my income.” You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses. “I can lead a full life.” You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success. Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love Access on-demand professional development resources that allow you to hone existing skills and learn new ones “I can succeed as a Machine Learning Engineer at Capital Group” 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. “I am the person Capital Group is looking for.” You will
- 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 (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. What We Value Most Engineering excellence. Ownership. Sound judgment. Humility. Collaboration. Curiosity. We are looking for a strong builder — someone who combines deep software engineering skill with the ability to thoughtfully apply machine learning techniques in real-world systems. “I can apply in less than 4 minutes.” You’ve reviewed this job posting and you’re ready to start the candidate journey with us.