Senior Machine Learning Engineer

Capital Group Companies; Los Angeles (CA); Hybrid; USD 202,000 - 323,000; Full time

Benefits offered by this job

Time-off benefits

Health benefits

Flexible work options

Matching gifts

Annual grants

Professional development

Competitive compensation

Retirement plan (15%)

Performance bonus

Profitability bonus

Job summary

Capital Group Companies in Los Angeles, CA seeks a Senior Machine Learning Engineer to join the AI Insights team. You will build an insight layer on investment data using multi-agent and generative AI with rigorous evaluation to turn research into reusable, evidence-backed decision support.

You will shape ambiguous questions into solvable tasks, extract signal from noisy data, and design experiments that settle team disagreements with reproducible criteria. 7+ years of experience required.

Qualifications

• Research depth and scientific rigor in data extraction and evaluation design.
• Abstraction and problem framing to identify core constraints and reusable structures.
• First-principles problem solving starting from the problem and constraints.
• Applied ML and Generative AI experience in production, delivering end-to-end solutions.
• AI acumen and ability to explain what was built and where assistants helped.
• Strong communication, collaboration, and maturity to align non-technical partners.
• Ownership to drive ambiguous work to concrete results.
• Builder judgment; turning ideas into working prototypes and clean outputs.

Responsibilities

• Refine an underspecified ask into clear framing with success criteria and evidence.
• Extract signal from noisy data while avoiding leakage and misleading metrics.
• Design evaluations and judge methods to ensure metrics measure what matters.
• Run experiments and document results for reproducibility and debate resolution.
• Design and build agent systems that decompose tasks and determine human involvement.
• Build end-to-end prototypes with AI coding tools while keeping outputs clean.
• Take projects from concept to usable products through collaborative design.
• Mentor teammates to improve experimental design and rigor.

Skills

Research depth

Abstraction & framing

First-principles solving

Applied ML & GenAI in prod

AI acumen

Communication & collaboration

Ownership

Builder judgment

Multi-agent / tool-using systems (pref

Evaluation infrastructure (pref)

Finance / investment domain (pref)

Job description

Capital Group Companies is hiring a Senior Machine Learning Engineer to join the AI Insights team in Los Angeles, CA (hybrid). In this role, you will build an insight layer on top of investment data, using multi-agent and generative AI systems paired with rigorous evaluation to turn research and other sources into reusable, evidence-backed decision support.

You will be working on an end-to-end product of applied machine learning: shaping ambiguous questions into solvable tasks, extracting signal from messy inputs, and designing experiments that settle real team disagreements with reproducible criteria.

What you’ll do

• Refine an underspecified ask into a clear problem framing, including what the real question is, what counts as an answer, and what evidence would resolve it.
• Extract meaningful signal from incomplete or noisy data while distinguishing genuine results from leakage, lucky splits, or misleading metrics.
• Design evaluations to determine whether a Generative AI system is working, including eval set design, success criteria, LLM-as-judge approaches, failure modes, and judgment practices that confirm the metric measures what you intend.
• Run the experiments that settle the question the team is debating, and document results so decisions remain reproducible with criteria committed before the numbers are known.
• Design and build agent systems that produce insight by decomposing the task, selecting orchestration, determining where a human belongs in the loop, and recognizing when a single model call or deterministic step is the more honest option.
• Build end-to-end prototypes, leveraging AI coding tools to move quickly while keeping outputs clean and functional.
• Take projects from initial concept to something people actually use, starting with short designs shaped together with the team.
• Strengthen team craft through design and code review, with mentoring focused on experimental design and rigor.

What you bring

• Research depth and scientific rigor, with experience extracting real signal from messy, ambiguous data and designing evaluations with skepticism when results look too good.
• Abstraction and problem framing, including the ability to identify core constraints without handholding and move toward reusable structures rather than one-off solutions.
• First-principles problem solving, starting from the problem and constraints rather than a preferred tool, and selecting the simplest approach that works.
• Applied ML and Generative AI experience in production, delivering end-to-end solutions from data understanding through evaluation to adoption by real users.
• AI acumen, including learning new tools because you want to understand how they work, using AI coding assistants daily, and explaining what you built, where the assistants helped, and where you needed to take over.
• Communication, collaboration, and maturity, including clear trade-off explanations to non-technical partners, comfort admitting “I don’t know,” fair representation of opposing views, and the ability to rally behind directions you did not initially choose.
• Ownership, driving ambiguous work to a concrete result.
• Builder judgment with 7+ years of professional experience and hands‑on involvement today, turning ideas into working prototypes, reading code with taste, steering AI coding tools toward clean outcomes, and focusing on making research real rather than algorithmic puzzle solving.

Preferred

• Designing and evaluating multi-agent or tool-using systems, including a clear understanding of where they fail.
• Building evaluation infrastructure such as eval sets, offline and online measurement, regression, and drift detection.
• Finance or investment management experience, or demonstrated ability to become fluent in an unfamiliar domain quickly.

How the team works

• No one keeps score; disagreement stays focused on the work.
• Most of the week includes working sessions like brainstorming, design review, and pair programming.
• Rigor matters: you try to break your own results before anyone else does.
• Ownership and humility guide collaboration, with pragmatism on when a rough answer is enough versus when it must be airtight.

Compensation

Base salary range: USD 201,683 - 322,693 per year (Southern California base salary range).

Benefits

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options.
• Receive 2-for-1 matching gifts for charitable contributions and have the opportunity to secure annual grants for organizations you love.
• Access on-demand professional development resources to hone existing skills and learn new ones.
• Competitive salary, bonuses and benefits.
• Company-funded retirement contribution that factors in salary and variable pay, including bonuses.
• Individual annual performance bonus.
• Capital’s annual profitability bonus.
• Retirement plan where Capital contributes 15% of your eligible earnings.

Location: Los Angeles, CA (hybrid). Minimum experience: 7 years.