Superside
B2B • SaaS • Media
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.
Lead Data/ML Engineer
Job not on LinkedIn
October 10
Superside
B2B • SaaS • Media
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.
📋 Description
• Design, build, and maintain scalable data and AI and data pipelines using Snowflake, Temporal and Python. • Design fault-tolerant, distributed systems capable of processing terabytes of data. • Build ad connectors from scratch to unify creative and performance data. • Develop real-time data synchronization and streaming solutions. • Ensure data reliability, integrity, and cost efficiency across environments. • Collaborate with other engineering and product teams to integrate data solutions. • Establish and maintain strong data governance and quality standards. • Identify automation opportunities to improve delivery speed and accuracy.
🎯 Requirements
• Strong experience in Python and production-grade data systems. • Proven expertise with Temporal or similar orchestration frameworks. • Experience integrating AI systems with APIs and production workflows. • Understanding of LLM evaluation (benchmarks, metrics, human-in-the-loop methods). • Ability to design experiments, analyze outcomes, and iterate fast. • Familiarity with emerging AI and data trends, and how to apply them to real products. • Comfort working in a fast-moving, collaborative, global team. • Bias for action, curiosity, and drive to build systems that scale.
🏖️ Benefits
• Diversity, Equity and Inclusion • Global team, local impact • Mentorship opportunities • Fully remote working environment
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