Senior Machine Learning Engineer

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.

• Demonstrated thought leadership and deep understanding of supported business capabilities.
• Experience in leading end-to-end solutioning across all aspects of SDLC for business problems with medium to high complexity and ambiguity.
• Implement new features in a highly collaborative work environment alongside 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.

• 7+ years’ experience with at least one modern programming language such as Java, Python, C++ or C#.
• Outstanding communication skills, ability to establish and maintain a close working relationship with distributed team members and business partners.
• Experience solving “full stack” machine learning problems, from data collection to model training to deployment.
• Experienced in one or more machine learning subfield, such as NLU, 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.
• 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 preferred.

We offer a competitive base salary range of $194,862-$311,779, as well as an individual annual performance bonus, plus Capital’s annual profitability bonus, and a retirement plan where Capital contributes 15% of your eligible earnings.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment.