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 Solutions Group Technology (CSGT)”

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 be creating and implementing detailed quality technical designs using existing and emerging technology platforms. The ideal candidate will be passionate about our mission and will drive for superior long-term investment results.

“I am the person Capital Group is looking for.”

• Demonstrated thought leadership and deep understanding of supported business capabilities.
• Experience in leading 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.
• You will independently implement new features in a highly collaborative work environment alongside product managers and fellow engineers.
• You will write legible, efficient, and performant code.
• You will collaborate with business partners and internal customers.
• You will share technical solutions and product ideas through team planning, design review, pair programming, code review, and technical discussions.
• You will take on projects and make software enhancements that improve team software and processes.
• While you are an agent of change with a sense of urgency, you are respectful of what came before.

Requirements:

• You have 7+ years’ experience with at least one modern programming language such as Java, Python, C++ or C#. Strong OO or Functional design skills with understanding of common design patterns.
• You possess outstanding communication skills, ability to establish and maintain a close working relationship with distributed team members and business partners.
• You have experience solving “full stack” machine learning problems, from data collection to model training to deployment. Must have experience using machine learning or NLP to solve real business problems.
• You are experienced in one or more machine learning subfield, such as NLU (e.g., question answering, information extraction, summarization, text classification), recommender systems, ranking and relevance, optimization, etc.
• Strong computer science fundamentals including data structures, algorithms, and complexity analysis.
• Excellent knowledge of software engineering best practices (e.g. Ag