Senior Manager - Machine Learning Engineering

Position Overview

Join Capital Group as a Senior Manager, CoreML (Machine Learning Engineering Manager - Senior). In this role you will lead an engineering organization responsible for designing, building, and operating AI/ML capabilities that empower investment professionals to make informed decisions. You will serve as both a strategic leader and a hands-on engineering coach, partnering closely with Product and other key stakeholders to drive technical excellence and innovation. Your package includes a competitive compensation structure and robust benefits designed to support a full and balanced life.

Key Responsibilities

• Define and evolve the long-term strategy and vision for CoreML in collaboration with the Product team.
• Lead engineering execution across distributed systems, ML pipelines, and LLM-based architectures ensuring reliable, maintainable, production-ready solutions.
• Translate high-level goals into clear, actionable technical plans and oversee design reviews, prototyping, and operational rollouts.
• Collaborate cross-functionally with Architecture, Cloud, Security, and investment professionals to validate ideas and build resilient systems.
• Cultivate a culture of learning, research, and innovation while mentoring engineering managers and senior individual contributors.

Required Qualifications

• Experience leading engineering teams that build or operate ML-driven products or platforms at scale.
• Strong partnership skills with Product teams to shape strategy, co-own roadmaps, and align technical investments with business priorities.
• Deep understanding of software engineering fundamentals including object-oriented and functional design, distributed systems, cloud architecture, testing, and operational excellence.
• Hands-on experience developing and/or integrating ML and LLM-based systems (e.g., RAG pipelines, embeddings, evaluation frameworks).
• Ability to navigate ambiguity and synthesize complex information into actionable technical directions.
• Excellent communication skills with the ability to engage both technical and business audiences clearly and concisely.
• Demonstrated curiosity, adaptability, and a practical approach to problem solving that balances ideal technical solutions with real-world constraints.

Preferred Qualifications

• Exposure to investment workflows, financial data, or high-stakes, data-intensive enterprise environments.

Benefits & Perks

• Enjoy generous time-away and health benefits from day one along with flexible work options.
• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for your valued organizations.
• Access on-demand professional development resources to enhance your skills and explore new learning avenues.
• Competitive compensation including base salary ranges, an individual annual performance bonus, Capital’s annual profitability bonus, and a retirement plan with a 15% contribution.
• Salary Range Details: Southern California: $234,276-$398,269; New York: $248,365-$422,221; Seattle: $234,276-$398,269.