Machine Learning Engineer at Capital Group

Compensation

$201,683 – $322,693/yr

Setup: Hybrid
Location: Granby, Quebec
Type: Full-time

Description

Capital Group is seeking a Machine Learning Engineer to design, build, and operate Generative AI systems aimed at improving investment processes and outcomes. The role involves close collaboration with investment professionals and engineering partners, emphasizing engineering rigor, system design, and scalable solutions. This position focuses on crafting production-grade systems incorporating machine learning and Generative AI components, taking end-to-end ownership of technical projects, and contributing to architectural decisions.

Required Skills

Python
System Design Principles
APIs
Distributed Systems Concepts
Cloud-Native Development
CI/CD
DevOps
MLOps Practices
Problem-Solving Ability
Communication Skills

Additional Information

Required Previous Experiences: 7+ years of professional software engineering experience
Demonstrated experience designing and building large scale production systems with solid architectural foundations.
Strong understanding of system design principles, APIs, distributed systems concepts, and cloud-native development.
Hands-on experience integrating machine learning models into production applications or services
Experience with cloud platforms, CI/CD, DevOps, or MLOps practices for deploying and monitoring applications.
Preferred Qualifications: Experience working with Generative AI, LLM APIs, retrieval systems, or agent-based architectures.
Experience with ML lifecycle tooling such as experiment tracking, model versioning, monitoring, or CI/CD for ML systems
Familiarity with model evaluation, monitoring, and performance trade-offs.
Exposure to modern ML frameworks (e.g., PyTorch, HuggingFace, etc.)
Experience reviewing research papers and translating relevant ideas into practical implementations.