Software Engineer, Fraud jobs in United States
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Whatnot · 2 hours ago

Software Engineer, Fraud

Whatnot is the largest live shopping platform in North America and Europe, redefining e-commerce through community and entertainment. The Software Engineer in the Fraud Experience team will lead the architecture of fraud detection systems, develop machine learning models, and create scalable data pipelines to safeguard the marketplace from malicious activity.

CollectiblesE-CommerceInformation TechnologyMarketplaceTrading Platform
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Lead the full architecture of fraud detection, prevention, and intervention systems — spanning machine learning, backend, and client-side components
Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale
Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity across users, payments, and marketplace interactions
Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads
Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics
Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement
Stay ahead of the curve by translating new insights into adaptive, production-ready systems that evolve as fast as our adversaries

Qualification

Machine LearningPythonData AnalysisData WarehousingFraud PreventionCommunicationGrowth Mindset

Required

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field
4+ years of software engineering experience building systems for consumer-scale traffic and reliability
1+ years writing production-grade Python code and working with ML libraries (e.g. PyTorch, LightGBM)
1+ years of experience in machine learning or fraud prevention domains
Deep business intuition and a data-driven mindset — you think critically about how abuse prevention systems affect growth and user experience
Fluency with data tooling, including data warehouses (e.g. Snowflake) and transformation frameworks (e.g. dbt, Dagster)
Strong communication skills and the ability to lead initiatives across product areas, collaborating closely with leadership, data science, and product teams
Experience working in a remote-first environment and producing well-tested, reproducible work

Benefits

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave
16 weeks of paid parental leave + one month gradual return to work

Company

Whatnot is a livestream shopping platform for buying and selling products.

H1B Sponsorship

Whatnot has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (20)
2023 (18)
2022 (10)

Funding

Current Stage
Late Stage
Total Funding
$974.7M
Key Investors
CapitalGY Combinator Continuity FundAndreessen Horowitz
2025-10-28Series F· $225M
2025-01-08Series E· $265M
2022-07-21Series D· $260M

Leadership Team

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Jeff Chang
Director of Engineering, Head of Growth
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Company data provided by crunchbase