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

Staff Machine Learning Engineer

Pinterest · San Francisco, CA · posted 14 days ago

In short: Staff Machine Learning Engineer at Pinterest in San Francisco, CA, posted 14 days ago.

By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.

Pinterestemployer

San Francisco, CAlocation

Data, analytics and AIsub-niche

14 days agoposted

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The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-10-26

Employer	Pinterest
Location	San Francisco, California
Field	Technology › Data, analytics and AI
Level	not stated
Source category	Consumer Engineering
Posted	2026-10-26 (14 days ago)
Work arrangement	A remote or flexible location is listed
Pay	Not published in the source listing

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Growth Content Science builds the ML that decides which content we bring to people on our growth surfaces, with a focus on notifications. We own the real-time production stack behind that decision: candidate retrieval, L1 and L2 ranking, utility and blending, content quality along with copy generation and ranking. As a Staff Machine Learning Engineer, you'll personally build the most complex models and systems on this stack, hold the bar for code quality and healthy ML infrastructure and lead the technical direction for notification content ranking.

What you'll do

Lead multiple technical sub-areas within Growth content science effectively.
Drive Growth ML model improvements through AB test driven innovation loop - from ideation to production launches.
Own the health of our ML ecosystem: training pipelines, feature and serving infrastructure, evaluation frameworks and monitoring, AB test set up, etc.
Help raise the technical excellence bar through mentorship, reviews, evaluations, documentation, standard setting, etc.
Collaborate and build strong working relationships with colleagues and stakeholders to tackle big, cross-functional, initiatives.
Work closely with other engineering leaders to form technical directions and roadmaps.
Operate autonomously, take ownership in complex and evolving environments and drive work effectively.
Identify and apply relevant state-of-the-art techniques from recent research and/or collaborate on novel research directions.
Continuously optimize various parts of work by building and using cutting-edge AI tools.

What we're looking for

Graduate degree in Computer Science or in a related field
Minimum of 8 years of experience in machine learning engineering, including hands-on experience building and shipping models for a large-scale, real-time, end-user production recommender system
Expertise in recommender modeling, including sequence modeling of user behavior with transformer architectures, DNN rankers and generative and LLM-native recommenders
Experience in building and operating high-QPS, latency-constrained ML systems, including training and serving infrastructure, and in owning the cost, latency and reliability tradeoffs
Experience in industry-grade software engineering that others use as the example, and in conducting thorough code and design reviews that raise the quality of a team's work
Understanding of content personalization and content quality as one problem, and of why cold-start and low-signal users break standard rankers
Experience in leading technical work across teams, making timely decisions on hard tradeoffs and saying no when the user experience or the system health is at stake
Experience in mentoring junior engineers
Outstanding written and verbal communication skills, especially in a cross-functional set up
Demonstrated experience using AI to improve speed and quality in applied research
Strong track record of publications and patents

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE
#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$189,308—$389,753 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Pinterest Jobs in California Jobs in San Francisco, CA San Francisco city guide California state guide San Francisco County economy

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About the role

This is a — role in the Technology field (Data, analytics and AI) at Pinterest.

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.
The listing mentions a remote or flexible location. Confirm with the employer whether remote work applies to your state: taxes, licensing and benefits can depend on where you live.
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 San Francisco, CA. Below is what the official statistics say about living and working there.

How San Francisco compares. Among the 145 largest places in California, San Francisco is #4 by population, #139 for homeownership (#1 = highest), #20 for remote work (#1 = most), #25 for college degrees (#1 = most). Its county, San Francisco County, is #3 of 58 counties for average pay ($174,103).

The place in numbers

San Francisco has 830,235 residents (ACS 2020–2024), about 2.1% of the population of California. It covers 47 square miles of land, which works out to roughly 17,784 people per square mile. The median age is 40.0, 6% older than the state median (40.0 against 37.9).

Housing

The median gross rent is $2,476 a month (rent plus utilities), 22% above the state median ($2,476 against $2,036). Over a year that is 21.1% 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 $1,394,500, which is 9.9 times the median household income ($140,970); a ratio above 5 usually means buying is out of reach without savings or a second income. 38.2% of households own their home, 32% below the state average (38.2% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Francisco County was 4.0%. 69.6% of residents aged 16 and over are in the labour force. The city lies in San Francisco County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 28.6% drive alone, 18.7% use public transit, 9.3% walk, 31.0% work from home. 21.6% of workers commute 45 minutes or more, 11% above the state average (21.6% 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

60.3% of adults aged 25 and over hold a bachelor's degree or higher, 63% above the state share (60.3% against 37.1%). 34.0% of residents were born outside the United States, 26% above the state share (34.0% against 27.0%). The poverty rate is 11.2%, 7% below the state rate (11.2% against 12.0%).

Climate

The warmest month is Sep, averaging 59°F (14.9°C), and the coolest is Apr at 53°F (11.6°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (112 mm) and Jul the driest (2 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: Daly City (31 miles, rent 3% higher); Pacifica (31 miles, rent 25% higher); San Bruno (34 miles, rent 12% higher); Millbrae (36 miles, rent 32% higher). Rent differences are against San Francisco; use the Compare tab to put any two cities side by side.

Full guide to San Francisco →California guide All jobs in San Francisco

Official links for San Francisco

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 San Francisco, 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 ⇅
San Francisco, CA	0 mi	$2,476	$1,394,500	$140,970	21.6%	n/a	Jobs
Daly City, CA	31 mi	$2,551	$1,115,000	$123,547	19.6%	n/a	Jobs
Pacifica, CA	31 mi	$3,098	$1,249,800	$160,523	15.5%	n/a	—
San Bruno, CA	34 mi	$2,773	$1,207,500	$141,272	12.2%	n/a	—
Millbrae, CA	36 mi	$3,272	$1,934,900	$163,476	21.8%	n/a	Jobs
Brisbane, CA	36 mi	$2,574	$1,232,200	$156,169	29.8%	n/a	—
South San Francisco, CA	36 mi	$2,802	$1,188,800	$136,578	15.2%	n/a	Jobs
Half Moon Bay, CA	37 mi	$2,433	$1,549,500	$157,884	26.7%	n/a	—
Burlingame, CA	38 mi	$2,785	$2,000,001	$174,000	23.1%	n/a	Jobs
Richmond, CA	40 mi	$1,960	$668,200	$95,391	28.8%	n/a	—
San Mateo, CA	41 mi	$3,077	$1,618,700	$153,504	15.8%	n/a	Jobs
Berkeley, CA	41 mi	$2,133	$1,413,900	$108,092	20.8%	n/a	Jobs
Alameda, CA	42 mi	$2,474	$1,235,700	$137,697	27.3%	n/a	Jobs
Belmont, CA	43 mi	$2,875	$2,000,001	$205,297	18.6%	n/a	Jobs
Oakland, CA	44 mi	$1,979	$929,900	$101,600	21.9%	n/a	Jobs
Foster City, CA	44 mi	$3,501	$1,838,200	$199,143	20.6%	n/a	Jobs
San Carlos, CA	45 mi	$2,854	$2,000,001	$237,470	14.9%	n/a	Jobs
Redwood City, CA	47 mi	$2,968	$1,801,700	$157,814	10.2%	n/a	Jobs
San Leandro, CA	48 mi	$2,186	$844,200	$101,420	23.7%	n/a	—
Atherton, CA	49 mi	$3,501	$2,000,001	$250,001	7.0%	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 (713) Software engineering (4089) Cloud, IT and infrastructure (1040) Product management (836)

Distances

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

How far San Francisco, 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 ⇅
San Francisco, CA	0 mi	830,235
San Jose, CA	73 mi	990,138
Los Angeles, CA	364 mi	3,857,263
San Diego, CA	475 mi	1,389,526
Phoenix, AZ	678 mi	1,642,323
Seattle, WA	684 mi	754,195
Denver, CO	986 mi	718,877
Oklahoma City, OK	1,420 mi	697,125
Fort Worth, TX	1,484 mi	963,194
Dallas, TX	1,515 mi	1,307,930
San Antonio, TX	1,516 mi	1,479,835
Austin, TX	1,530 mi	979,539
Houston, TX	1,673 mi	2,328,253
Chicago, IL	1,885 mi	2,711,226
Indianapolis, IN	1,979 mi	885,860
Columbus, OH	2,142 mi	914,802
Charlotte, NC	2,332 mi	903,844
Jacksonville, FL	2,403 mi	977,670
Philadelphia, PA	2,550 mi	1,579,706
New York, NY	2,602 mi	8,483,844

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
Alameda, CA	42 mi	38
Belmont, CA	43 mi	2
Redwood City, CA	47 mi	45
Palo Alto, CA	54 mi	298
Sunnyvale, CA	60 mi	83
Fremont, CA	62 mi	6
Pleasanton, CA	63 mi	6
Milpitas, CA	66 mi	2
Campbell, CA	67 mi	7
San Jose, CA	73 mi	698
Capitola, CA	79 mi	1
Sacramento, CA	103 mi	53

The employer

Pinterest 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 Staff Machine Learning Engineer job at Pinterest?

A private-sector role in technology (data, analytics and ai) listed 14 days ago. The full description is on this page and on the employer's page.

Where is this job?

San Francisco, CA. A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

Use the "View this job and apply on the employer's page" 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 San Francisco is $2,476 a month and median household income $140,970 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-26 (14 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: Pinterest careers page public feed (listing dated 2026-10-26). 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 employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

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