Superside
Superside is a creative services company that helps businesses enhance their in-house teams with AI-powered creative services. They offer a wide variety of creative work through a flexible subscription model, delivering projects quickly and affordably. Superside serves over 500 global enterprise brands, providing high-quality creative services that include design, video production, branding, and more. The company utilizes a blend of AI technology and top creative talent to ensure fast turnaround times and cost efficiency, catering to the needs of fast-moving brands.
design • brand • brand identity • visual identity • graphic design
Lead Data - ML Engineer
January 7
Superside
Superside is a creative services company that helps businesses enhance their in-house teams with AI-powered creative services. They offer a wide variety of creative work through a flexible subscription model, delivering projects quickly and affordably. Superside serves over 500 global enterprise brands, providing high-quality creative services that include design, video production, branding, and more. The company utilizes a blend of AI technology and top creative talent to ensure fast turnaround times and cost efficiency, catering to the needs of fast-moving brands.
design • brand • brand identity • visual identity • graphic design
📋 Description
• SuperAds is seeking a Lead Data/ML Engineer to design and optimize scalable data pipelines and integrate advanced machine learning models into production. • In this role, you’ll work at the intersection of data engineering and AI, enabling marketers with cutting-edge creative analytics. • As part of our innovative SuperAds team, you’ll operate with startup agility while leveraging the stability of Superside. • Reporting directly to the CTO, you’ll play a pivotal role in building robust, cost-efficient systems that scale with rapid growth and revolutionize ad performance analysis.
🎯 Requirements
• 4+ years of experience in data engineering roles with expertise in building and maintaining complex ETL pipelines. • Strong programming skills in Python, with a deep understanding of system engineering and data infrastructure design. • Experience deploying machine learning models in production environments and integrating them into scalable data pipelines. • Proficiency with AI technologies such as PyTorch, TensorFlow, or Jax is a strong advantage. • Solid knowledge of distributed systems, data modeling, and storage solutions for high-volume, real-time data. • Familiarity with orchestration tools (Airflow, Temporal) and containerization (Docker, Kubernetes) for managing workflows. • Proficiency with cloud platforms like AWS, GCP, Snowflake, or Databricks, including cost-effective resource management. • Knowledge of ad-tech/mar-tech platforms and data integration from external APIs and large datasets. • Strong problem-solving skills, with the ability to troubleshoot complex data issues across pipelines and integrations. • Excellent collaboration and communication skills, with comfort working in cross-functional teams.
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