Jobs Private USA → Technology → Data, analytics and AI → Sr. Manager, Machine Learning Engineering-Applied Research

Sr. Manager, Machine Learning Engineering-Applied Research

Pinterest · San Francisco, CA · posted 97 days ago

In short: Sr. Manager, Machine Learning Engineering-Applied Research at Pinterest in San Francisco, CA, posted 97 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

97 days agoposted

🆕 Work guides: live jobs + official data, law, permits, pay and cost of living. United States · California · San Francisco County · San Francisco · all 145 cities + map → · all 58 counties → · California rankings · Silicon Valley special · San Francisco special · Los Angeles special · all 51 states → · 200 largest companies · 240 best job niches · Federal jobs in California

The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-08-04

Employer	Pinterest
Location	San Francisco, California
Field	Technology › Data, analytics and AI
Level	not stated
Source category	ATG
Posted	2026-08-04 (97 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.

We're looking for a highly technical Senior Engineering Manager with a deep understanding of modern recommendation systems to manage, lead and develop a team of ML researchers and engineers within the Applied Science team. In this role, you will lead the strategy of the Recommendation System innovation team. You will help the team build a balanced portfolio of work that addresses both immediate short-term business impact and long-term strategic breakthroughs in areas like Generative Recommendation System (GenRecSys), Large Sequential Models, and Reinforcement Learning (RL). Partnering closely with executive leadership, product management, and engineering partners, you will evolve our technical roadmap and directly drive Pinterest’s core mission forward.

What you will do:

Technical Vision and Execution: Own the technical roadmap and strategic vision for Pinterest’s next-generation recommendation systems. Champion the use of state-of-the-art ML techniques to deliver revolutionary innovations in recommendation technology.
Team Leadership & People Management: Support, mentor, and grow a world-class team of Applied Scientists, Machine Learning Engineers, and technical leads. Recruit top talent, foster an inclusive research-to-production culture, and guide career progression.
Portfolio & Strategy Management: Balance execution across two parallel horizons—delivering near-term measurable metric improvements while sponsoring multi-quarter, high-risk/high-reward AI/ML research initiatives.
Research to Production: Successfully transition breakthrough ML research into production-ready systems that directly impact core company metrics.
Cross-functional Partnership: Collaborate seamlessly with Consumer Engineering, Ads Engineering, Platform, Content, and Data Science teams to prototype, build, and scale solutions to complex engineering challenges. Partner with leadership to deepen user understanding and set the strategic direction for our recommendation system roadmap.

What we are looking for:

Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
Proven Execution: A track record of delivering high-impact initiatives across multiple product areas, with a demonstrated ability to influence peers and leadership using data-driven insights.
Talent Development: Experience mentoring, coaching, and up-leveling software and machine learning engineers.
Continuous Learner: A self-propelled learner who stays ahead of industry trends, new tools, and emerging methodologies, with an appetite for building proof-of-concept prototypes.
Business & Product Acumen: The ability to transform vague, ambiguous questions into well-defined projects with clear success metrics that drive business decisions.
Communication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields.
Academic Credentials: B.S. in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Preferred Qualifications

Experience managing hybrid teams of research-oriented scientists and production-focused machine learning engineers.
Track record of publishing at top-tier ML/RecSys conferences (KDD, RecSys, NeurIPS, CVPR).
Familiarity with generative AI for recommendations (e.g., semantic indexing, LLMs/GenRec architectures) or deep RL for long-term user value optimization.
Experience leveraging modern LLM/Agentic workflows and generative A

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
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$227,871—$469,147 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

View this job and apply on the employer's page →

You apply on the employer's page; AtiveSite does not receive or process applications and is not affiliated with the employer. The description above is shown as the source published it.

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".

Other open jobs at Pinterest

Sr. Product Designer - Measurement, Data, & AI

Pinterest · San Francisco, CA · Data, analytics and AI · posted 3 days ago

Strategy & Operations Intern 2027 (USA)

Pinterest · San Francisco, CA · Business operations and strategy · posted 3 days ago

Sr. Industry Manager, Travel

Pinterest · New York, NY · Executive and general management · posted 4 days ago

Staff Software Engineer, Ads Agent Infra

Pinterest · San Francisco, CA · Software engineering · posted 5 days ago

Content Enablement Intern 2027 (USA)

Pinterest · San Francisco, CA · Content, editing and production · posted 5 days ago

Motion Designer, PPM SMB

Pinterest · San Francisco, CA · Design and UX · posted 6 days ago

Lead Digital Producer

Pinterest · San Francisco, CA · Content, editing and production · posted 6 days ago

Sr. Client Partner, Tech

Pinterest · New York, NY · Account management · posted 7 days ago

Similar jobs

Same sub-niche: Data, analytics and AI

Sr Software Engineer - Streaming Data Platform

Uber · San Francisco, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Web Optimization Analyst

Spectrum · Los Angeles, CA · Mid Level · Data, analytics and AI · posted 2 days ago

Research Scientist - Salesforce AI Research

Salesforce · Palo Alto, CA · Entry Level · Data, analytics and AI · posted 2 days ago

Senior Lead Software Engineer- AI/ML Training Infrastructure

JPMorgan Chase · Palo Alto, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Sr. Software Engineer, AI Infrastructure (Starshield)

SpaceX · El Segundo, CA · Senior Level · Data, analytics and AI · posted 2 days ago

More jobs in San Francisco, CA

Strategic Sourcing Manager, Data Center Infrastructure, Electrical & Mechanical

OpenAI · San Francisco, CA · Cloud, IT and infrastructure · posted today

White Space Manager, Network & Data Halls

OpenAI · San Francisco, CA · Executive and general management · posted yesterday

Research Engineer, Cybersecurity RL

Anthropic · San Francisco, CA · Cybersecurity · posted yesterday

Sr Software Engineer - Streaming Data Platform

Uber · San Francisco, CA · Senior Level · Data, analytics and AI · posted 2 days ago

Software Engineer II - Engineer

Uber · San Francisco, CA · Mid Level · Software engineering · posted 2 days ago

Senior Social Media Associate

Uber · San Francisco, CA · Senior Level · Communications and PR · posted 2 days ago

All Data, analytics and AI jobs → · All Technology sub-niches →

FAQ

What is the Sr. Manager, Machine Learning Engineering-Applied Research job at Pinterest?

A private-sector role in technology (data, analytics and ai) listed 97 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 2026-08-04 (97 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 2026-08-04). 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

Jobs in other countries

🇺🇸 United States 🇩🇪 Germany 🇸🇪 Sweden 🇸🇬 Singapore