Senior Machine Learning Engineer

"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.

• 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. Agile software development, test-driven development, unit testing, code reviews, design documentation, etc…)
• 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, containers - ECS & EKS, Lambda, Elasticsearch) preferred.