Machine Learning Engineer II
I can be myself at work.
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.
I can influence my income.
- 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.
- 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
- Create, research, implement, and maintain state of the art machine learning models, data pipelines, and analytical systems to significantly enhance our investment processes and outcomes.
- Conduct applied research into financial modeling to help our investment professionals make better decisions.
- Collaborate directly with senior investment professionals and fellow technology associates to enhance our investment process through the use of state-of-the-art ML techniques.
- Work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems.
Qualifications
- 3+ years of experience with Python and SQL.
- Strong object-oriented or functional design skills with understanding of common design patterns.
- A demonstrated track record in one or more machine learning subfield relevant to financial modeling, such as time series analysis, quantitative modeling, optimization, anomaly detection, or predictive analytics.
- Experience solving “full stack” machine learning problems, from data collection and ETL development to model training and deployment, and experience using machine learning to solve real business problems in finance or investment management.
- Strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.
- Knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).
- A track record of successfully delivering enterprise-grade models into production.
- Experience with AWS services (S3, containers – ECS & EKS, Lambda) preferred.
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. Apply now to move to the next step in our recruiting process. If this role isn’t what you’re looking for, check out our other opportunities and join our talent community.
I Can Learn More About Capital Group.
At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That’s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people’s lives through successful investing. We know that our history is a testament to the strength of the people we hire.
More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.
Southern California Base Salary Range
$159,354-$254,966
Seattle Base Salary Range
$159,354-$254,966