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TikTok · New York, NY · Mid Level · Data, analytics and AI · posted yesterday
TikTok · Seattle, WA · posted 86 days ago
By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.
| Employer | TikTok |
|---|---|
| Location | Seattle, Washington |
| Field | Technology › Data, analytics and AI |
| Level | Mid Level |
| Source category | Data and Analytics |
| Posted | 2026-08-14 (86 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
Responsibilities
The E-Commerce Risk Control (ECRC) team's mission is :
- To protect TikTok e-commerce users, including and beyond buyer, seller, creator;
- To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform;
- Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.
The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop, Fanno) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.
We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors' actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.
Responsibilities:
- Invent, implement, and deploy state of the art machine learning algorithms, to respond to and mitigate business risks in Tiktok products/platforms.
- Build prototypes and explore conceptually new solutions, define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
- Develop efficient data querying infrastructure for both offline and online analysis, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
- Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.
- Maintain technical documents and communicate results to diverse audiences with effective writing, visualizations, and presentations
Qualifications
Minimum Qualifications:
- Master degrees in Computer science, Mathematics, Machine Learning, or other relevant STEM majors (e.g. finance if applying for financial fraud roles). Experience programming in Java, C++, Python or related language
- 3+ years of hands on experience in building and delivering machine learning models for large-scale projects.
- Track record of developing and implementing models and visualizations using programming and scripting (Scala, Python, R, Ruby, and/or Matlab).
- Experience using various forecasting, machine learning and statistical tools and communicating results, plans and/or risks clearly.
- Ability to think creatively and solve problems
Preferred Qualifications:
- A PhD in CS, Machine Learning, Statistics, Operations Research, or relevant field
- 4+ years of industry experience in predictive modeling and analysis
- Experience collaborating with product, operations and engineering teams is a plus.
- Excellent analytical and communication skills and ability to influence stakeholders.
- Experience in e-commerce / online companies in fraud / risk control functions
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $207480 - $368220 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Field: Technology Sub-niche: Data, analytics and AI All jobs at TikTok Jobs in Washington Jobs in Seattle, WA Seattle city guide Washington state guide King County economy
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This is a Mid Level role in the Technology field (Data, analytics and AI) at TikTok. Mid-level roles usually expect some years of relevant experience and the ability to work with limited supervision.
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.
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.
This is editorial guidance, not information from the employer.
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The job is in Seattle, WA. Below is what the official statistics say about living and working there.
How Seattle compares. Among the 80 largest places in Washington, Seattle is #1 by population, #76 for homeownership (#1 = highest), #8 for college degrees (#1 = most), #8 for remote work (#1 = most). Its county, King County, is #1 of 39 counties for average pay ($132,279).
Seattle has 754,195 residents (ACS 2020–2024), about 9.6% of the population of Washington. It covers 84 square miles of land, which works out to roughly 8,979 people per square mile. The median age is 35.6, 7% younger than the state median (35.6 against 38.3).
The median gross rent is $2,030 a month (rent plus utilities), 15% above the state median ($2,030 against $1,760). Over a year that is 19.7% 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 $938,600, which is 7.6 times the median household income ($123,860); a ratio above 5 usually means buying is out of reach without savings or a second income. 43.7% of households own their home, 31% below the state average (43.7% against 63.8%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
The Seattle-Tacoma-Bellevue, WA metropolitan area has 2,086,210 jobs in the BLS wage survey, and the median pay across all occupations is $72,610 a year, 42% above the national median ($72,610 against $50,980). The biggest occupation groups are office and administrative support (212,900 jobs, median $59,660); business and financial operations (201,160 jobs, median $101,950); computer and mathematical (194,970 jobs, median $156,000). The area is most specialised in computer and mathematical (2.8 times) and architecture and engineering (1.4 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($168,110) and computer and mathematical ($156,000). In 2026M09 the unemployment rate of King County was 4.8%. 74.0% of residents aged 16 and over are in the labour force. The city lies in King County; its jobs, pay by industry and GDP are on the county page.
Among workers, 36.6% drive alone, 11.9% use public transit, 8.1% walk, 34.8% work from home. 13.9% of workers commute 45 minutes or more, 18% below the state average (13.9% against 16.9%). 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.
68.5% of adults aged 25 and over hold a bachelor's degree or higher, 73% above the state share (68.5% against 39.6%). 20.1% of residents were born outside the United States, 31% above the state share (20.1% against 15.4%). The poverty rate is 9.9%, about the same as the state rate (9.9% against 9.9%).
The warmest month is Aug, averaging 65°F (18.3°C), and the coolest is Dec at 39°F (3.8°C). About 1,230 mm (48 inches) of precipitation falls in a year; Nov is the wettest month (188 mm) and Jul the driest (19 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.
Closest cities in this guide: Mercer Island (7 miles, rent 23% higher); Bainbridge Island (7 miles, rent 8% higher); Kirkland (9 miles, rent 18% higher); Bellevue (9 miles, rent 27% higher). Rent differences are against Seattle; use the Compare tab to put any two cities side by side.
Full guide to Seattle →Washington guideAll jobs in Seattle
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.
Places within 50 miles (straight line) of Seattle, WA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| 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 ⇅ |
|---|---|---|---|---|---|---|---|
| Seattle, WA | 0 mi | $2,030 | $938,600 | $123,860 | 13.9% | n/a | Jobs |
| Mercer Island, WA | 7 mi | $2,502 | $2,000,001 | $219,069 | 8.7% | n/a | — |
| Bainbridge Island, WA | 7 mi | $2,194 | $1,155,900 | $172,188 | 37.2% | n/a | — |
| Kirkland, WA | 9 mi | $2,401 | $1,115,400 | $150,414 | 10.8% | n/a | — |
| Bellevue, WA | 9 mi | $2,572 | $1,340,300 | $165,576 | 11.1% | n/a | Jobs |
| Shoreline, WA | 10 mi | $1,985 | $811,100 | $112,751 | 17.1% | n/a | — |
| Burien, WA | 10 mi | $1,782 | $638,800 | $91,318 | 15.5% | n/a | — |
| Kenmore, WA | 10 mi | $1,949 | $920,800 | $139,764 | 19.3% | n/a | — |
| Tukwila, WA | 10 mi | $1,898 | $489,000 | $78,381 | 14.6% | n/a | — |
| Redmond, WA | 12 mi | $2,409 | $1,167,800 | $162,560 | 9.8% | n/a | Jobs |
| Renton, WA | 12 mi | $1,998 | $672,600 | $100,432 | 22.0% | n/a | Jobs |
| Mountlake Terrace, WA | 12 mi | $2,004 | $667,300 | $107,687 | 17.8% | n/a | — |
| SeaTac, WA | 12 mi | $1,660 | $519,700 | $81,104 | 14.7% | n/a | — |
| Bothell, WA | 13 mi | $2,346 | $925,100 | $140,427 | 16.6% | n/a | — |
| Edmonds, WA | 13 mi | $1,903 | $890,100 | $122,449 | 16.7% | n/a | — |
| Bothell West, WA | 14 mi | $2,511 | $824,900 | $153,449 | 29.0% | n/a | — |
| Lynnwood, WA | 15 mi | $1,742 | $686,900 | $77,704 | 19.6% | n/a | Jobs |
| Sammamish, WA | 15 mi | $2,857 | $1,407,300 | $239,690 | 18.2% | n/a | — |
| Issaquah, WA | 15 mi | $2,590 | $963,000 | $154,669 | 12.8% | n/a | — |
| Fairwood, WA | 15 mi | $2,233 | $733,200 | $122,134 | 28.0% | n/a | — |
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)
How far Seattle, WA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| Seattle, WA | 0 mi | 754,195 |
| San Francisco, CA | 684 mi | 830,235 |
| San Jose, CA | 714 mi | 990,138 |
| Los Angeles, CA | 962 mi | 3,857,263 |
| Denver, CO | 1,024 mi | 718,877 |
| San Diego, CA | 1,059 mi | 1,389,526 |
| Phoenix, AZ | 1,108 mi | 1,642,323 |
| Oklahoma City, OK | 1,524 mi | 697,125 |
| Fort Worth, TX | 1,658 mi | 963,194 |
| Dallas, TX | 1,681 mi | 1,307,930 |
| Chicago, IL | 1,732 mi | 2,711,226 |
| Austin, TX | 1,769 mi | 979,539 |
| San Antonio, TX | 1,784 mi | 1,479,835 |
| Indianapolis, IN | 1,869 mi | 885,860 |
| Houston, TX | 1,888 mi | 2,328,253 |
| Columbus, OH | 2,009 mi | 914,802 |
| Charlotte, NC | 2,283 mi | 903,844 |
| Philadelphia, PA | 2,374 mi | 1,579,706 |
| New York, NY | 2,407 mi | 8,483,844 |
| Jacksonville, FL | 2,452 mi | 977,670 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Bellevue, WA | 9 mi | 75 |
| Redmond, WA | 12 mi | 3 |
| Lynnwood, WA | 15 mi | 3 |
TikTok is the employer in this listing. See all its open jobs here →
Company description (from The Muse): As the leading destination for short-form mobile video, TikTok’s mission is to inspire creativity and bring joy.
size: Large Size; industries: Entertainment & Gaming, Social Media, Technology; locations on The Muse: Dubai, United Arab Emirates, London, United Kingdom, Los Angeles, CA, New York, NY, Paris, France, Singapore.
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).
The employer's profile on The Muse →
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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A mid level role in technology (data, analytics and ai) listed 86 days ago. The full description is on this page and on The Muse.
Seattle, WA.
Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Seattle is $2,030 a month and median household income $123,860 (ACS 2020–2024).
It was posted on 2026-08-14 (86 days ago). Jobs older than 90 days are not shown.
Yes: browse data, analytics and ai jobs in Washington.
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