Senior Machine Learning Engineer

“I can be myself at work.”

You are more than a job title. 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 an experienced Machine Learning Engineerwith strong applied science capabilitiesto design, research, implement,deliverandoperateGenerative AIsystems that improveCapitalGroup’s investment process and outcomes.You will work closely with senior investment professionals and engineering partners to explorenew ideas, run experiments, and translatestate-of-the-artresearch 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 softwaredevelopmentengineers that has delivereda number ofGenerative 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, andoperateGenerative AI models and systems that materially improve the work of our investment professionals.

Prototype quicklyto testhypotheses, while contributing to production-quality solutions as ideas mature.

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

Breakdown 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.

Bringa 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

Workwith partners across teams toidentifyroot causes of issues and design long-term solutions.

Operate with urgency, positivity, ownership, and a growth mindset,seeking continuous improvement and embracingnew ideas.

Required Experience

Strong intellectual curiosity andcomfortexploring 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 communicationskills, 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, withstrongunderstanding 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 thatdelivermeaningfulimpactin 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.Authenticrespect for others.A love oflearning.

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.