Senior Machine Learning Engineer

Senior Machine Learning Engineer / ML Scientist — Fraud Detection

Remote (United States) | Full-Time

Salary $140k - 210K base

We are hiring Senior Machine Learning Engineers / ML Scientists to build and scale fraud detection systems that power real-time decisions in e-commerce. This is a high-ownership role where you will design, experiment, and deploy models that directly impact transaction outcomes  will work on complex, high-volume systems and take models from concept through production, owning both the technical and business impact

• Build and deploy machine learning models for fraud detection at scale
• Develop advanced modeling approaches (e.g., ensemble models, decision system)
• Design and improve offline evaluation frameworks for model performance
• Enable rapid experimentation by building scalable ML pipelines
• Partner with product, risk, and engineering teams to solve real-world business problems
• Own the full lifecycle of models: from problem definition to monitoring in production
• Contribute to best practices in model testing, evaluation, and performance tracking

• 4–6+ years of experience in production machine learning environments
• Strong foundation in statistical modeling, experimentation, and evaluation
• Proven experience building machine learning solutions from scratch
• Hands‑on experience with distributed data processing (Spark required)
• Proficiency in Python and SQL
• Experience deploying and evaluating models in real-world systems

• PhD or advanced degree in Computer Science, Statistics, or a related field
• Experience in fraud detection, payments, risk modeling, or related domains

• Strong emphasis on experimentation and statistical rigor
• High ownership across the full ML lifecycle
• Opportunity to work on large-scale, high-volume data problems
• Collaborative environment focused on technical excellence
• Python, SQL, Spark, distributed data systems, internal ML platforms
• Base salary: $140,000 – $210,000 (depending on location and experience)
• Annual bonus up to 10%
• Equity (stock options)
• Unlimited PTO
• 401(k) with company match
• Health, dental, and vision insurance
• 12 weeks paid parental leave
• Learning and development budget
• Remote within the United States
• Must be authorized to work in the US (no sponsorship provided)