Capital Group-posted 3 months ago
$194,862 - $311,779/Yr
Los Angeles, CA
101-250 employees

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 (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.

  • Design and implement intelligent systems for portfolio construction, investment research, and monitoring.
  • Collaborate with investment professionals, product managers, and engineers to deliver scalable solutions.
  • Create and implement detailed quality technical designs using existing and emerging technology platforms.
  • Lead end-to-end solutioning across all aspects of SDLC for business problems.
  • Independently implement new features in a collaborative environment.
  • Write legible, efficient, and performant code.
  • Collaborate with business partners and internal customers.
  • Share technical solutions and product ideas through team planning and discussions.
  • Take on projects and make software enhancements to improve team software and processes.
  • 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.
  • Outstanding communication skills and ability to maintain close working relationships with distributed team members.
  • Experience solving 'full stack' machine learning problems from data collection to model training to deployment.
  • Experience using machine learning or NLP to solve real business problems.
  • Experienced in one or more machine learning subfields such as NLU, recommender systems, ranking and relevance, optimization.
  • 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.
  • Knowledge of data stores, SQL and No-SQL preferred.
  • Experience with AWS services (S3, containers – ECS & EKS, Lambda, Elasticsearch) preferred.
  • Highly competitive base salary.
  • Individual annual performance bonus.
  • Capital’s annual profitability bonus.
  • Retirement plan with Capital contributing 15% of eligible earnings.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service