Machine Learning Engineer II

"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

• You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CG's investment process by making investment decisions.
• You successfully research, train, evaluate and deploy models for financial modeling and data analysis from inception to deployment and operation.
• You uphold a high standard of quality in your work, ensuring integrity in both form and function.
• You write clear, efficient, and performant code.
• You collaborate effectively to support team strategy, contributing to decisions regarding modeling and technology.
• You proactively identify and tackle the root causes of endemic modeling problems, collaborating with cross-functional teams to implement sustainable solutions.
• You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems.

• You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design skills with understanding of common design patterns.
• You have 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.
• You have 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.
• You are strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.
• You possess strong computer science fundamentals including data structures, algorithms, and complexity analysis.
• You have knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).
• You have a track record of successfully delivering enterprise-grade models into production.
• You have experience with AWS services (S3, containers - ECS & EKS, Lambda) preferred.