Fraud Engineer — ML-Driven Real-Time Detection (Remote)

Whatnot; New York (NY); 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

Care benefits

Retirement benefits

Parental Leave

Job summary

A leading live shopping platform is seeking a Software Engineer for its Fraud Experience team. The role involves designing and implementing systems to detect and prevent fraud using machine learning techniques. Ideal candidates will have over 4 years of software development experience, proficiency in Python, and an understanding of machine learning principles. The position offers flexible work arrangements and requires commuting to specified hubs in the US. Compensation ranges from $170K to $230K.

Qualifications

• 4+ years of software development experience in high-growth environments.
• 1+ years writing production-grade Python code.
• 1+ years of experience in machine learning or fraud prevention domains.

Responsibilities

• Lead the architecture of fraud detection systems.
• Build intelligent user graphs for fraud detection.
• Develop scalable data pipelines and real-time inference systems.

Skills

Software development experience

Machine learning proficiency

Python programming

Data-driven mindset

Strong communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Python ML libraries (e.g., PyTorch, LightGBM)

Data warehouses (e.g., Snowflake)

Job description

A leading live shopping platform is seeking a Software Engineer for its Fraud Experience team. The role involves designing and implementing systems to detect and prevent fraud using machine learning techniques. Ideal candidates will have over 4 years of software development experience, proficiency in Python, and an understanding of machine learning principles. The position offers flexible work arrangements and requires commuting to specified hubs in the US. Compensation ranges from $170K to $230K.