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Condé Nast is seeking a Machine Learning Engineer I to develop and maintain their recommendations platform, requiring hands-on experience in ML systems and strong proficiency in Python. The role emphasizes ownership and collaboration with Data Scientists to create robust engineering solutions.
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Job Summary
Condé Nast is seeking a Machine Learning Engineer I to own the full lifecycle of ML-powered recommendation systems in a global media environment.
The role requires close collaboration with Data Scientists to translate complex business requirements into scalable, high-performance engineering architectures.
Candidates will be responsible for designing robust batch and streaming data processing pipelines while ensuring system reliability and continuous improvement.
Matching Summary
Match Score: 75
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Condé Nast is seeking a Machine Learning Engineer I to develop and maintain their recommendations platform, requiring hands-on experience in ML systems and strong proficiency in Python. The role emphasizes ownership and collaboration with Data Scientists to create robust engineering solutions.
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Skills & Requirements
Must-have
Python proficiency with PyTorch scikit-learn
Production ML pipeline management
Big data technologies Spark Kafka Hive
AWS cloud services S3 EC2 EMR SageMaker
CI/CD pipeline implementation for ML
Nice-to-have
Databricks platform experience
Kubernetes container orchestration
Airflow workflow orchestration tools
MLflow experiment tracking usage
Real-time near-real-time ML use cases
Key Requirements
2–4 years software or ML engineering experience
Strong understanding of data structures and system design
Experience building production data pipelines or ML systems