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E Commerce Platform Data Jobs

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27d ago

Senior Machine Learning Engineer, E-Commerce Risk Control

TikTok San Jose, CA

San Jose, CA

27d ago

$187k - $360k/yr Full time Advanced Analytics Ai Ml Analytics

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Job Description

Senior Machine Learning Engineer on TikTok's E-Commerce Risk Control team, responsible for inventing and deploying ML models to mitigate e-commerce risks while advancing privacy, interpretability, and risk governance.

Responsibilities

Invent, implement, and deploy cutting edge ML algorithms; build prototypes and explore novel solutions to mitigate business risks in TikTok e-commerce platforms, including fraudulent merchants, cheating influencers, malicious users, information security issues, and cross domain risk challenges.
Apply representation learning, graph models, deep learning, transfer learning, and multi task learning to boost problem detection efficiency and rapidly block risks while optimizing key metrics in the e-commerce ecosystem.
Monitor and attribute principal metrics to detect shifts in risk and business trends; proactively identify potential attacks; continuously refine risk-control strategies and contribute to risk governance and business model improvements.
Mine and analyze large-scale e-commerce content and user behavior data to create both short-term and long-term user profiles; improve model precision and recall; enhance robustness, automation, and generalization.
Advance risk ML capabilities in privacy, compliance, interpretability, and risk perception; design models tailored to content e-commerce and build a leading risk control algorithm system for the domain.

Requirements

Master’s degree in Computer Science, Mathematics, Machine Learning, or related STEM fields.
3+ years of hands-on experience delivering ML models for large-scale projects at internet companies.
Strong coding skills in Python, C++, and Java, with familiarity in at least one major ML or deep learning platform.
Solid understanding of supervised, unsupervised, and deep learning techniques; ability to build business algorithms using appropriate methods.
Critical, objective thinking with data-driven, results-oriented communication; capable of working with high autonomy.

Technologies

Python
C++
Java
LLM

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated on hire with tenure-based accruals
Additional discretionary bonuses and incentives
Restricted stock units

ABOUT THE TEAM

The E-Commerce Risk Control team focuses on minimizing damage from inauthentic behaviors on TikTok E-Commerce platforms, addressing account integrity, incentive abuse, malicious actions, brushing, click-farm, information leakage, and related risks.
Opportunity to engage with company strategy on key security initiatives, building scalable, robust, privacy-safe, secure, product-friendly systems and solutions.
Work on novel, first-seen challenges within a fast-evolving product ecosystem, not routine technical puzzles.
Fast-moving, transferable work that still delivers concrete, impactful results.

ABOUT USDS

TikTok USDS Joint Venture LLC focuses on safety and security for millions of Americans who create, discover, and connect through the apps we operate.
The Joint Venture was established in alignment with a Presidential Executive Order dated September 25, 2025.
Foundational data privacy and cybersecurity programs safeguard national security and US user data, apps, and algorithms.
USDS Joint Venture upholds trust and safety policies and moderation to protect the U.S. content ecosystem.
On-site collaboration across teams enables speed, alignment, and agile execution, including real-time decision making.

WHY JOIN US

TikTok emphasizes creativity and connection, with diverse teams delivering value to communities and users worldwide.
Culture centers on curiosity, humility, impact, and maintaining an Always Day 1 mindset to drive meaningful breakthroughs.
Diversity and Inclusion are core commitments, with an inclusive workspace that reflects global communities.

JOB INFORMATION

Location: San Jose, CA, onsite. Base salary range: USD 187,040 to 359,720 per year. Eligible for discretionary bonuses/incentives and restricted stock units; day-one benefits apply and may vary by location.

USDS REASONABLE ACCOMMODATION

USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities or other protected needs. For assistance, contact https://tinyurl.com/USDS-RA.

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1mo ago

Machine Learning Engineer, Search engine, E-Commerce Alliance

TikTok Seattle, WA

Seattle, WA

1mo ago Closed

$148k - $301k/yr Full time Ai Ml Algorithms Analytics

This position is no longer accepting applications (closed Jul 9, 2026).

Job Description

Machine Learning Engineer focused on building and optimizing e-commerce search and matching systems for TikTok's E-Commerce Alliance.

Responsibilities

Architect and deploy large-scale ML models to optimize e-commerce search performance, covering ranking, query analysis, and sorting signals, with metrics such as relevance, click-through rate, conversion rate, and other business indicators driving outcomes.
Develop ML solutions and algorithm strategies by mining extensive user query data to strengthen merchant-side capabilities and enhance overall platform matching.
Leverage vast data to analyze creator and merchant behavior, crafting targeted algorithmic approaches that empower creators and merchants, boost monetization efficiency, and support industrial upgrading.
Support rapid growth of TikTok's e-commerce business by serving millions of merchants, exploring more efficient business models, delivering the best possible shopping experience, and fostering a healthy ecosystem.

Requirements

Proficient in at least one programming language (C++, Python, Shell) with solid fundamentals and clean coding style.
Experience in algorithm development, including applying and optimizing Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
Familiar with at least one mainstream deep learning framework (TensorFlow, Caffe, MXNet) and commonly used deep learning algorithms.
Ability to solve problems independently while maintaining strong teamwork and communication skills.
Experience in search engines, recommendation systems, or computational advertising-related fields is preferred.

Technologies

C++, Python, Shell
Sparse LR
DFFM
Deep&Wide
DSSM
TensorFlow
Caffe
MXNet

Benefits

Medical, dental, and vision insurance (day one)
401(k) savings plan with company match
Paid parental leave
Short-term disability
Long-term disability
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Location

Seattle

Employment Type

Regular

Job Code

O2281

For Los Angeles County (Unincorporated) Candidates

Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
Exercising sound judgment.

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1mo ago

Digital Content Data Analyst

Home Depot / THD Trenton, NJ

Trenton, NJ

1mo ago Closed

$61k - $70k/yr Full time Analyst Analytics Category Management

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Join Home Depot / THD on The Company Store digital team as a Digital Content Data Analyst, onsite in Trenton, NJ. This role offers a competitive annual salary range of USD 60,500 to 70,000 and requires a bachelor’s degree or equivalent with at least 2 years of experience. You will lead end-to-end onboarding and ongoing management for assigned product categories, ensuring accurate setup, data integrity, and an optimal site experience on thecompanystore.com. A cross-functional environment, applied analytics, and opportunities to impact product presentation and lifecycle processes are central to this role.

You will act as the primary data category lead for the Digital Content team, coordinating with internal partners and external agencies to resolve issues and drive measurable business results. The position emphasizes ownership, clear communication, and practical problem solving to maintain high quality content and data accuracy across the online store.

Responsibilities

Subject matter expert: Own the assigned online product category, staying informed on best practices, industry standards, and applicable legal requirements, and report on these as related to projects.
Data projects and presentation: Manage category data initiatives including SKU collection and maintenance, online cross merchandising, and product presentation.
Program effectiveness: Measure the ongoing impact of programs against metrics and develop optimization strategies informed by performance data and customer feedback.
Portfolio management: Prioritize projects and tasks to ensure deliverables meet or exceed goals.
Cross-functional coordination: Lead integrated teams from external agencies or other functional groups supporting initiatives.
Operational troubleshooting: Address ongoing needs such as store SKU alignment and online product availability.
Documentation: Create clear end-user and training materials for processes.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
No permanent direct reports, but leads a work group: assigns and reviews work, provides training, and contributes to performance appraisals (not involved in hiring, firing, or disciplinary actions).

Technologies

Salesforce Commerce Cloud
Shopify
Excel

Reporting structure

Direct manager: Manager, Digital Content
Direct reports: 0

Travel

Typically requires overnight travel less than 10% of the time.

Physical requirements

Most of the time spent seated in a comfortable position with occasional movement; lifting light items is rare.

Working conditions

Located in a comfortable indoor environment; unpleasant conditions are infrequent and not objectionable.

Preferred qualifications

Analytical thinker with the ability to identify and resolve data or execution issues
Familiarity with ecommerce platforms (Salesforce Commerce Cloud, Shopify), data management, process analysis and improvement
Strong Excel skills for data manipulation, large file handling, and error identification
Attention to detail with a focus on accuracy and quality
Entrepreneurial mindset with proactive ownership
Ability to prioritize multiple tasks and meet deadlines consistently
Excellent written and verbal communication and strong collaboration across teams
Effective decision making and problem solving
Positive, professional, and responsible attitude; independent yet team oriented
Influential with a track record of win-win negotiations

Education

Preferred education: Bachelor’s degree or equivalent (no additional education listed beyond this).

Leadership experience

Minimum leadership experience: None
Preferred leadership experience: None

Certifications

None

Core competencies

Action Oriented
Collaborates
Drives Engagement
Customer Focus
Drives Results
Manages Conflict

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E Commerce Platform Data Jobs

Senior Machine Learning Engineer, E-Commerce Risk Control

Machine Learning Engineer, Search engine, E-Commerce Alliance

Digital Content Data Analyst

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