Senior Machine Learning Engineer, Fraud Detection

Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time.

Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.

Optimize models for performance, scalability, and efficiency to handle high-volume streaming data.

Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining.

Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics.

Experience: You bring 8+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services.

Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP.

Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization.

Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration.

Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus.

Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field.

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

Receive a great compensation package including salary plus performance bonus earning potential, paid annually.

Flexible time off policies allowing you to take the time you need to be your whole self.

Generous medical, dental, vision, STD, LTD, and life insurance

Health Saving Account HSA program

Health care and dependent care FSA

401(k) plan, with employer match

Employer paid commuter benefit

Support program for new parents

Pet insurance and some of our offices are pet friendly!

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