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Accountabilities:
- Design, build, and operate large-scale ML solutions for advertising delivery.
- Collaborate with product, engineering, and data teams to deploy models.
- Mentor peers and establish ML best practices and AI-native development.
Requirements:
- Advanced degree in quantitative field with 8+ years of ML experience.
- Strong Python skills and experience with ML lifecycle tools (MLflow, Kubeflow, etc.).
- Experience with cloud platforms (AWS, GCP) and production ML systems.
Benefits:
- Competitive salary with equity opportunities and comprehensive insurance.
- Flexible paid time off and remote-first work environment with equipment support.
- Learning and development programs and inclusive culture.
Not disclosed
The company is a technology firm focused on AI-driven advertising solutions. It operates in a remote-first environment with a collaborative and inclusive culture.