Jobs Private USA → Technology → Data, analytics and AI → Senior Machine Learning Engineer

Senior Machine Learning Engineer

Capital Group · Irvine, CA · posted 9 days ago

In short: Senior Machine Learning Engineer at Capital Group in Irvine, CA, posted 9 days ago.

By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.

Capital Groupemployer

Irvine, CAlocation

Data, analytics and AIsub-niche

9 days agoposted

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The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-30

Employer	Capital Group
Location	Irvine, California
Field	Technology › Data, analytics and AI
Level	Senior Level
Source category	Data and Analytics
Posted	2026-10-30 (9 days ago)
Work arrangement	On-site at the location listed
Pay	Not published in the source listing

Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Machine Learning Engineer at Capital Group"

We are looking for someone who can take a vague question from an investment professional, find a real answer in messy data, prove the answer holds, and build the thing that delivers it.

You will join the AI Insights team. We build the insight layer on top of Capital Group's investment data: multi-agent systems that answer investment questions with citations, the evaluation methods that tell us whether those answers are any good, agents that take on expert analyst workflows end-to-end, and the extraction work that turns unstructured research, calls, and filings into reusable insight. Some problems here are better served by a conventional supervised model, and part of the job is knowing which is which.

Our work reaches across the investment organization, from research analysts to governance specialists to the teams behind portfolio and order management. Each partner brings its own data, its own workflow, and its own idea of what a good answer looks like. You go deep with one rather than skim, and you end up learning parts of the business most engineers never see.

Whether systems like these actually work, and how anyone would know, is still an open problem in this field, and making it answerable here is a large part of this role. This is applied science with a delivery bar, not a research lab: the answers have to hold up to people making real investment decisions, and they have to arrive as something working rather than a paper. Everyone on this team builds. There is no version of this role where you hand a design to someone else and review what comes back. We work hand in hand with a partner engineering team that owns the platform, so your time goes to the insight and the evaluation rather than the infrastructure underneath it.

"I am the person Capital Group is looking for."

You will:

Sharpen an underspecified ask into a problem worth solving: what is really being asked, what would count as an answer, what evidence would settle it.

Pull signal out of messy, incomplete data, and tell a real result from leakage, a lucky split, or a metric that flatters itself.

Design the evaluations that tell us whether a Generative AI system is working: eval sets, success criteria, LLM-as-judge and its failure modes, and the judgment to know when a number measures what you think it does.

Run the experiment that settles the question the team is arguing about, and write it up so the decision is reproducible, including the criteria you committed to before you saw the numbers.

Design and build agent systems that produce insight. Decompose the task, choose the orchestration, decide where a human belongs in the loop, and recognize when a single model call or a simple deterministic step is the more honest answer.

Build your own prototypes end-to-end, using AI coding tools to move fast while keeping the output clean and working.

Take your projects from a rough idea to something people use, starting with a short design you shape together with the team.

Strengthen the team's craft through design and code review, and by mentoring on experimental design and rigor.

Required Experience

These are what we weight most heavily:

Research depth and scientific rigor. A track record of extracting real signal from messy, ambiguous data. You design clean evaluations, and you are skeptical of your own results when they look too good.

Abstraction and problem framing. You find the core constraint in an unfamiliar problem without handholding, and reach for a reusable structure rather than a one-off.

First-principles problem solving. You start from the problem and its constraints rather than a favorite tool, and reach for the simplest thing that works.

Applied ML and Generative AI experience in production. You have taken real problems end-to-end, from data understanding through evaluation to something people actually used.

AI acumen. You pick up new tools because you want to know how they work, not because someone made you. You work with AI coding assistants day to day, and can say concretely what you have built with them, where they helped, and where you had to take over.

Communication, collaboration, and maturity. You explain trade-offs clearly to non-technical partners, say "I don't know" without discomfort, and state the other side of a disagreement fairly. You make the people around you better, and can get behind a direction you did not choose.

Ownership. You have driven ambiguous work to a result on your own.

A floor rather than a differentiator, but we do expect it:

Builder judgment. 7+ years of professional experience, and still hands-on today. You can turn an idea into a working prototype yourself, read code with taste, and steer AI coding tools to a clean result rather than accepting whatever they produce. This is not about algorithmic puzzle solving. It is about building enough to make your research real.

Preferred

Designing and evaluating multi-agent or tool-using systems, including a clear view of where they fail.

Building evaluation infrastructure: eval sets, offline and online measurement, regression and drift detection.

Finance or investment management, or a demonstrated ability to get fluent in an unfamiliar domain quickly.

How we work, and what we value

Nobody here is keeping score. Disagreement stays about the work rather than the person, and you do not have to be the loudest person in the room to have influence. A lot of the week goes to working sessions: brainstorming, design review, pair programming. The problems are genuinely ambiguous, and not all of them work out.

Rigor. You try to break your own result before anyone else does. Ownership. You are a driver, not a passenger. Humility. A better argument can change your mind. Pragmatism. You know when a rough answer is enough and when it has to be airtight.

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $201,683-$322,693

Seattle Base Salary Range: $201,683-$322,693

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Capital Group Jobs in California Jobs in Irvine, CA Irvine city guide California state guide Orange County economy

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Capital Group. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Gross salary a year Filing State income tax rate %

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

The city

The job is in Irvine, CA. Below is what the official statistics say about living and working there.

How Irvine compares. Among the 145 largest places in California, Irvine is #14 by population, #14 for college degrees (#1 = most), #127 for rent (#1 = cheapest), #123 for homeownership (#1 = highest). Its county, Orange County, is #9 of 58 counties for average pay ($81,403).

The place in numbers

Irvine has 311,690 residents (ACS 2020–2024), about 0.8% of the population of California. It covers 66 square miles of land, which works out to roughly 4,750 people per square mile. The median age is 34.0, 10% younger than the state median (34.0 against 37.9).

Housing

The median gross rent is $2,997 a month (rent plus utilities), 47% above the state median ($2,997 against $2,036). Over a year that is 26.3% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,191,500, which is 8.7 times the median household income ($136,719); a ratio above 5 usually means buying is out of reach without savings or a second income. 44.5% of households own their home, 20% below the state average (44.5% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The Los Angeles-Long Beach-Anaheim, CA metropolitan area has 6,271,560 jobs in the BLS wage survey, and the median pay across all occupations is $55,850 a year, 10% above the national median ($55,850 against $50,980). The biggest occupation groups are office and administrative support (702,480 jobs, median $52,710); food preparation and serving related (588,660 jobs, median $38,460); healthcare support (537,460 jobs, median $35,630). The area is most specialised in arts, design, entertainment, sports, and media (2.2 times) and healthcare support (1.7 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($136,490) and legal ($128,110). In 2026M09 the unemployment rate of Orange County was 4.3%. 67.1% of residents aged 16 and over are in the labour force. The city lies in Orange County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 59.1% drive alone, 1.1% use public transit, 3.7% walk, 28.0% work from home. 11.9% of workers commute 45 minutes or more, 39% below the state average (11.9% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

70.6% of adults aged 25 and over hold a bachelor's degree or higher, 90% above the state share (70.6% against 37.1%). 39.8% of residents were born outside the United States, 48% above the state share (39.8% against 27.0%). The poverty rate is 10.8%, 10% below the state rate (10.8% against 12.0%).

Climate

The warmest month is Aug, averaging 73°F (23.0°C), and the coolest is Dec at 56°F (13.2°C). About 299 mm (12 inches) of precipitation falls in a year; Feb is the wettest month (68 mm) and Jun the driest (1 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Tustin (4 miles, rent 18% lower); Lake Forest (6 miles, rent 11% lower); Santa Ana (8 miles, rent 31% lower); Mission Viejo (8 miles, rent 5% lower). Rent differences are against Irvine; use the Compare tab to put any two cities side by side.

Full guide to Irvine →California guide All jobs in Irvine

Official links for Irvine

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of Irvine, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:

Place ⇅	Distance from the job city ⇅	Median rent ⇅	Median home value ⇅	Median household income ⇅	Commute 45+ min ⇅	Rent as % of occupation pay ⇅	Open jobs there ⇅
Irvine, CA	0 mi	$2,997	$1,191,500	$136,719	11.9%	n/a	Jobs
Tustin, CA	4 mi	$2,449	$950,400	$112,503	8.5%	n/a	—
Lake Forest, CA	6 mi	$2,672	$937,000	$135,175	12.9%	n/a	—
Santa Ana, CA	8 mi	$2,082	$713,000	$93,999	10.7%	n/a	—
Mission Viejo, CA	8 mi	$2,839	$1,009,600	$136,123	15.9%	n/a	Jobs
Costa Mesa, CA	8 mi	$2,446	$1,115,100	$111,505	9.7%	n/a	Jobs
Newport Beach, CA	9 mi	$3,316	$2,000,001	$156,867	11.1%	n/a	Jobs
Orange, CA	9 mi	$2,327	$945,800	$117,113	13.8%	n/a	—
Anaheim, CA	12 mi	$2,175	$831,200	$95,227	17.5%	n/a	Jobs
Garden Grove, CA	13 mi	$2,012	$814,100	$92,174	16.6%	n/a	—
Huntington Beach, CA	13 mi	$2,510	$1,100,000	$120,919	19.3%	n/a	—
Westminster, CA	14 mi	$2,168	$858,300	$85,541	15.8%	n/a	—
Fullerton, CA	17 mi	$2,194	$902,600	$104,286	23.4%	n/a	—
Corona, CA	17 mi	$2,228	$700,700	$109,242	32.5%	n/a	Jobs
Buena Park, CA	18 mi	$2,206	$838,800	$110,550	20.9%	n/a	—
Chino Hills, CA	18 mi	$2,894	$874,900	$126,334	31.0%	n/a	—
Chino, CA	22 mi	$2,336	$683,400	$104,682	28.3%	n/a	—
Lakewood, CA	23 mi	$2,347	$827,200	$119,177	20.4%	n/a	—
Long Beach, CA	24 mi	$1,871	$806,600	$87,430	21.0%	n/a	Jobs
Norwalk, CA	24 mi	$2,090	$644,700	$100,085	21.9%	n/a	—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far Irvine, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:

From ⇅	Straight-line distance (miles) ⇅	Population of that city ⇅
Los Angeles, CA	44 mi	3,857,263
San Diego, CA	70 mi	1,389,526
Phoenix, AZ	327 mi	1,642,323
San Jose, CA	338 mi	990,138
San Francisco, CA	407 mi	830,235
Denver, CO	827 mi	718,877
Seattle, WA	992 mi	754,195
Oklahoma City, OK	1,157 mi	697,125
San Antonio, TX	1,168 mi	1,479,835
Fort Worth, TX	1,180 mi	963,194
Austin, TX	1,194 mi	979,539
Dallas, TX	1,213 mi	1,307,930
Houston, TX	1,340 mi	2,328,253
Chicago, IL	1,727 mi	2,711,226
Indianapolis, IN	1,791 mi	885,860
Columbus, OH	1,959 mi	914,802
Charlotte, NC	2,095 mi	903,844
Jacksonville, FL	2,118 mi	977,670
Philadelphia, PA	2,375 mi	1,579,706
New York, NY	2,435 mi	8,483,844

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
Costa Mesa, CA	8 mi	10
Newport Beach, CA	9 mi	1
Anaheim, CA	12 mi	50
Compton, CA	30 mi	3
Huntington Park, CA	33 mi	2
El Segundo, CA	41 mi	102
Culver City, CA	42 mi	6
Los Angeles, CA	44 mi	494
Beverly Hills, CA	46 mi	2
Carlsbad, CA	47 mi	3
Burbank, CA	48 mi	6
Encino, CA	53 mi	1
San Diego, CA	70 mi	352
El Cajon, CA	77 mi	1
Chula Vista, CA	85 mi	2

The employer

Capital Group is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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FAQ

What is the Senior Machine Learning Engineer job at Capital Group?

A senior level role in technology (data, analytics and ai) listed 9 days ago. The full description is on this page and on The Muse.

Where is this job?

Irvine, CA.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Irvine is $2,997 a month and median household income $136,719 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-30 (9 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in California.

Sources and terms

Job data: The Muse public API (listing dated 2026-10-30). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

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