Senior Machine Learning Engineer

Senior Machine Learning Engineer / ML Scientist — Fraud Detection Remote (United States) | Full-Time Salary $140k - 210K base About the Role 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 at scale. You will work on complex, high-volume systems and take models from concept through production, owning both the technical and business impact What You’ll Work On 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 What We’re Looking For 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 Preferred PhD or advanced degree in Computer Science, Statistics, or a related field Experience in fraud detection, payments, risk modeling, or related domains What Makes This Role Interesting 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) #J-18808-Ljbffr