Senior Machine Learning Engineer

"I can succeed as a Machine Learning Engineer at Capital Group"

We are seeking an experienced Machine Learning Engineer with strong applied science capabilities to design, research, implement, deliver and operate Generative AI systems that improve Capital Group's investment process and outcomes. You will work closely with senior investment professionals and engineering partners to explore new ideas, run experiments, and translate state-of-the-art research into practical, scalable solutions that meaningfully enhance how we make investment decisions.

You will join a high-performing team of applied scientists, ML engineers, and software development engineers that has delivered a number of Generative AI capabilities to production, including multi-agent systems, semantic search, summarization, text-to-speech, and document understanding pipelines. We are passionate about building tools that drive superior long-term investment results, and we value rigorous thinking, rapid experimentation, and craftsmanship in both science and engineering.

"I am the person Capital Group is looking for."

You will:

• Design, research, build, evaluate, and operate Generative AI models and systems that materially improve the work of our investment professionals.

• Prototype quickly to test hypotheses, while contributing to production-quality solutions as ideas mature.

• Take ownership of complex technical projects, shaping system design and research direction, and collaborating closely with teammates to deliver strong outcomes.

• Break down complex problems into actionable steps, making thoughtful engineering and modeling trade-offs.

• Read current research, run controlled experiments, analyze results, and clearly communicate insights and trade-offs.

• Bring a scientist's curiosity and a builder's pragmatism, balancing exploration with delivering real value

• Maintain a high bar for clarity, reliability, and correctness in both code and models

• Work with partners across teams to identify root causes of issues and design long-term solutions.

• Operate with urgency, positivity, ownership, and a growth mindset, seeking continuous improvement and embracing new ideas.

Required Experience

• Strong intellectual curiosity and comfort exploring new tools, frameworks, and techniques, and applying them thoughtfully to real-world problems.

• Ability to analyze experimental results, make clear trade-off decisions, and communicate findings effectively.

• Strong communication skills, with the ability to explain technical concepts clearly to diverse audiences.

• Experience developing machine learning solutions such as question answering, information extraction, summarization, classification, search relevance, or similar real-world ML applications.

• Hands-on experience solving end-to-end ML problems, from data understanding to training, evaluation, iteration, and deployment.

• Strong understanding of core machine learning concepts and the ability to apply them thoughtfully in real-world settings.

• 7+ years of experience with at least one modern programming language such as Python or Java, with strong understanding of OO or functional design patterns.

• Proven ability to own and drive technical projects from design through experimentation and implementation, requiring minimal oversight.

Preferred (Nice to Have)

• Experience building AI/ML solutions that deliver meaningful impact in real-world or production environments.

• Knowledge of software engineering best practices (Agile development, testing, code reviews, design documentation).

• Experience with ML Ops, model observability, deployment automation, or scalable training/evaluation pipelines.

• Familiarity with modern Generative AI technologies, foundation models, and current research trends.

• Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, or similar).

• Experience with reinforcement learning or related techniques.

What we value most

Curiosity. Rigor. Pragmatism. Ownership. Authentic respect for others. A love of learning.

We are looking for someone who is excited to explore, experiment, and build -someone who combines scientific insight with the ability to translate ideas into reliable, high-impact systems.