Fraud Detection Engineer — Remote, ML‑Driven

Whatnot; Los Angeles (CA); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Generous holiday and time-off policy

Health insurance options

Work-from-home support

401k retirement plan

Parental leave

Job summary

A leading live shopping platform is seeking a Software Engineer for its Fraud Experience team in Los Angeles. This mid-senior level role involves developing innovative systems for fraud detection utilizing machine learning technologies. The ideal candidate will have a Bachelor's degree in a technical field, 4+ years in software engineering, and a strong command of Python and ML libraries. The company offers remote work flexibility and a generous benefits package.

Qualifications

• 4+ years of software engineering experience building systems for consumer-scale traffic and reliability.
• 1+ year of writing production-grade Python code and working with ML libraries.
• 1+ year of experience in machine learning or fraud prevention domains.

Responsibilities

• Lead the full architecture of fraud detection and prevention systems.
• Build intelligent user graphs to model behavioral patterns.
• Develop scalable data pipelines and real-time inference systems.

Skills

Machine learning

Python

Data analysis

Software engineering

Education

Bachelor’s degree in Computer Science

Tools

PyTorch

Snowflake

Job description

A leading live shopping platform is seeking a Software Engineer for its Fraud Experience team in Los Angeles. This mid-senior level role involves developing innovative systems for fraud detection utilizing machine learning technologies. The ideal candidate will have a Bachelor's degree in a technical field, 4+ years in software engineering, and a strong command of Python and ML libraries. The company offers remote work flexibility and a generous benefits package.