Capital Group · 11 hours ago
Senior Machine Learning Engineer
Seattle, WA
Full-time
Onsite
Senior Level
$202K/yr - $323K/yr
7+ years expCapital Group is a company committed to fostering a strong sense of belonging in a respectful workplace. As a Senior Machine Learning Engineer, you will design and implement intelligent systems that enhance portfolio construction and investment research, collaborating with various teams to deliver scalable solutions.
Financial Services
Responsibilities
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
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
Qualification
Required
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, 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
Must have experience using machine learning or NLP to solve real business problems
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
Preferred
Knowledge of data stores, SQL and No-SQL preferred
Experience with AWS services (S3, containers – ECS & EKS, Lambda, Elasticsearch) preferred
Benefits
Generous time-away and health benefits from day one
Flexible work options
2-for-1 matching gifts for your charitable contributions
The opportunity to secure annual grants for the organizations you love
On-demand professional development resources that allow you to hone existing skills and learn new ones
Individual annual performance bonus
Capital’s annual profitability bonus
Retirement plan where Capital contributes 15% of your eligible earnings
Company
Capital Group
Capital Group was established in 1931 in Los Angeles, California, and now has 31 offices around the globe.
Founded in 1931Los Angeles, CA, US
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Mike Gitlin
President & CEO
Canise Arredondo (she/her/hers)
Chief Financial Officer
Recent News
2024-05-06
2024-04-17
2024-02-27
Company data provided by crunchbase