Senior Machine Learning Engineer, Fraud Detection

17 days ago

Los Angeles, CA, USA or San Francisco, CA, USASenior

Base Salary

$185k - $240k/yr

Responsibilities

Design and implement real-time machine learning and anomaly detection algorithms to identify unauthorized account sharing.
Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.
Optimize models for performance, scalability, and efficiency across high-volume streaming data.
Integrate ML solutions with existing systems through APIs and establish monitoring for model drift and retraining.
Collaborate with data scientists, product analysts, data engineers, and product teams to productionize research prototypes.
Use A/B testing and feedback on evolving evasion tactics to refine fraud detection algorithms.

At least 8 years of hands-on machine learning engineering experience.
Track record developing fraud or anomaly detection systems, ideally for online consumer-facing products and services.
Expertise in Python and frameworks such as TensorFlow, PyTorch, or XGBoost.
Experience with MLOps tools including MLflow and Docker, and cloud ML services such as AWS SageMaker and Databricks MLflow.
Experience with cloud computing infrastructure and tooling such as AWS or GCP.
Ability to collaborate with data scientists, engineers, and product teams to deploy models supporting business goals.
Strong technical documentation and communication skills, including explaining algorithm decisions to technical and non-technical stakeholders.
Master’s degree or PhD in computer science, machine learning, statistics, or a related quantitative field.
Cloud ML certifications are a plus.

Salary plus performance bonus earning potential paid annually.
Flexible time-off policies.
Medical, dental, vision, short-term disability, long-term disability, and life insurance.
Health Savings Account and healthcare and dependent-care FSA programs.
401(k) plan with employer match.
Employer-paid commuter benefit.
New-parent support program.
Pet insurance and some pet-friendly offices.
Hybrid schedule with in-office work three days per week on Tuesday, Wednesday, and Thursday.
Work location is in the Los Angeles or San Francisco area in California.

1,001-5,000 employees