Senior ML Engineer — Flexible Work & AI Insights

Capital Group; Seattle (WA); On-site; USD 202,000 - 323,000; Full time

Benefits offered by this job

Generous time-off

Health benefits

Flexible work options

Job summary

Capital Group is seeking a Machine Learning Engineer to join the AI Insights team. You will transform vague investment questions into reliable, evaluated solutions. You’ll work across investment data, build multi-agent systems with citations, and ensure outputs are usable in real decision making.

You’ll collaborate with analysts, governance teams, and platform engineers, shaping experiments from design to deployment. Expect hands-on work, mentorship, and a culture that values rigor and ownership.

Qualifications

• Research depth and scientific rigor in messy data and evaluations.
• Ability to frame problems and derive reusable structures.
• Strong problem solving from first principles, not just tools.
• Experience applying ML and Generative AI in production.
• Comfort with AI coding tools and hands-on building.

Responsibilities

• Sharpen an underspecified ask into a solvable problem.
• Extract signal from messy data and report real results.
• Design evaluations for Generative AI systems and JLLM-based judging.
• Run experiments and document reproducible decisions with pre-registered criteria.
• Build end-to-end agent systems and prototypes.
• Mentor teammates on design, rigor, and code reviews.

Skills

Research depth

Abstraction

First-principles

Applied ML

AI acumen

Communication

Ownership

Builder judgment

Job description

Capital Group is seeking a Machine Learning Engineer to join the AI Insights team. You will transform vague investment questions into reliable, evaluated solutions. You’ll work across investment data, build multi-agent systems with citations, and ensure outputs are usable in real decision making.

You’ll collaborate with analysts, governance teams, and platform engineers, shaping experiments from design to deployment. Expect hands-on work, mentorship, and a culture that values rigor and ownership.