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Capital Group Logo

Machine Learning Engineering Manager Senior

Capital Group

$234,276 - $422,221
Jan 2, 2026
New York, NY, US
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Capital Group is looking to solve the problem of shaping how investment professionals consume information, make decisions, and understand markets through the development of AI/ML capabilities.

Requirements

  • Experience leading engineering teams that build and operate ML-driven products or platforms at scale
  • Strong partnership instincts with Product—comfortable shaping strategy, co-owning roadmaps, and aligning technical investment with business priorities
  • Deep understanding of software engineering fundamentals: OO and functional design, distributed systems, cloud architecture, testing, and operational excellence
  • Hands-on experience developing and/or integrating ML and LLM-based systems (RAG pipelines, embeddings, evaluation frameworks, orchestration, data integrations)
  • Ability to navigate ambiguity, connect details to high-level strategy, and synthesize complex information into actionable direction
  • Strong communication skills: clear, structured, concise, and effective across technical and business audiences
  • Exposure to investment workflows, financial data, or high-stakes, data-intensive enterprise environments

Responsibilities

  • Lead an engineering organization responsible for designing, building, and operating AI/ML capabilities
  • Guide a team that builds foundational platform components—LLM integrations, retrieval pipelines, evaluation frameworks, classification and summarization systems
  • Set direction, guide architectural choices, elevate engineering quality, and ensure the team delivers production-ready solutions with reliability and rigor
  • Partner closely with the Product team throughout the entire lifecycle: co-developing long-term vision, shaping the roadmap, exploring opportunities, rapidly validating ideas, and executing against shared goals
  • Create the conditions for engineers and managers to explore new ideas, investigate emerging technologies, generate insights, and contribute to thought leadership across the firm
  • Lead engineering execution across distributed systems, ML pipelines, LLM-based architectures, and integration layers
  • Translate high-level goals into clear and actionable technical plans, while ensuring solutions are reliable, maintainable, and production-ready

Other

  • Bachelor's degree or higher in a relevant field
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Strong leadership and management skills, with the ability to motivate and develop team members
  • Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
  • Ability to travel up to 10% of the time