Software Engineer, Recommendation Systems

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Requirements:

• 5+ years of experience in software engineering.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, or related field.
• Industry experience applying methods to solve real-world problems at consumer scale.
• Ability to work autonomously and lead initiatives across product areas.
• Experience in machine learning fields (e.g. Recommendations, Search).
• Expertise in designing and building scalable backend systems.
• Familiarity with monitoring tools like DataDog, Grafana.
• Familiarity with cloud computing platforms like AWS Sagemaker, EC2, Kafka.

Responsibilities:

• Ship product features to deliver high-quality Discovery experiences for users.
• Build and maintain a scalable, stable, low latency feed and browse experience.
• Build services and infrastructure for advanced recommendation systems solutions for real-time feeds.
• Partner closely with engineering teams to utilize models for solving discovery problems.
• Contribute scalable solutions across various serving stacks.