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.

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. 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.

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

 ‎ 

 ‎

 ‎

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans.

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. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.