Senior Machine Learning Engineer

Overview

“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 r 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 charitable contributions and the opportunity to secure annual grants for organizations you love
• Access on-demand professional development resources to hone existing skills and learn new ones

As a Machine Learning Engineer in CSGT, you will design and implement intelligent systems that enhance portfolio construction, investment research, and monitoring. You’ll collaborate closely with investment professionals, product managers, and fellow engineers to deliver scalable, data-driven solutions that power our multi-asset strategies. You will create and implement detailed, high-quality technical designs using existing and emerging technology platforms. The ideal candidate will be passionate about our mission and drive for superior long-term investment results.

• Demonstrated thought leadership and deep understanding of supported business capabilities.
• Lead end-to-end solutioning across all aspects of SDLC (analysis, development, testing, deployment, support, etc.) for business problems with medium to high complexity and ambiguity.
• Independently implement new features in a highly collaborative environment with product managers and fellow engineers.
• Write legible, efficient, and performant code.
• Collaborate with business partners and internal customers.
• Share technical solutions and product ideas through team planning, design review, pair programming, code review, and technical discussions.
• Take on projects and make software enhancements that improve team software and processes.
• Act as an agent of change with a sense of urgency while respecting existing systems.

• 7+ years’ experience with at least one modern programming language (Java, Python, C++, or C#). Strong OO or Functional design skills with understanding of common design patterns.
• Outstanding communication skills with ability to collaborate with distributed team members and business partners.
• Experience solving full-stack machine learning problems, from data collection to model training to deployment. Must have experience using ML or NLP to solve real business problems.
• Experience in one or more ML subfields (e.g., NLU, recommender systems, ranking and relevance, optimization, etc.).
• Strong computer science fundamentals including data structures, algorithms, and complexity analysis.
• Knowledge of software engineering best practices (Agile, TDD, unit testing, code reviews, design documentation).
• Willingness and ability to own all stages of the development process: design, testing, implementation, operational support.
• Knowledge of data stores, SQL and No-SQL preferred.
• Experience with AWS services (S3,…