AI Data Engineering Lead

We’re partnering with a next-generation AI company that’s reshaping the future of ML and media - blending deep tech with creative excellence. After a series of strategic acquisitions and partnerships, their growth trajectory is steep, and they’re building a best-in-class technical team to scale even faster. Right now, Data Engineering is their 1 priority. They’re actively hiring for: Data Engineer Lead / Head of Data Engineering About the Company: Remote-first culture (timezone-flexibility is key) Backed by top investors and industry leaders Recently acquired a film studio and partnered with a key player in creative AI Hardcore belief in combining technical excellence with creative innovation Why They’re Hiring: Their AI researchers and scientists are stretched thin, pulled into building foundational data pipelines when they should be focused on modeling. They're standing up a dedicated Data Engineering team - and they need top talent now to scale their machine learning efforts, especially around video-based models. What You'll Work On: Own and scale ML training pipelines (think video datasets at petabyte scale) Curate datasets from messy, unstructured sources - with a focus on automation Architect ingestion systems and build scalable data infrastructure Partner deeply with Infra, AI Research, and Product teams Play a key role supporting projects like foundational model development and synthetic data generation Tech Stack & Must-Have Skills: Deep experience with ML data pipelines Cloud infrastructure: Terraform, Kubernetes, AWS/GCP/Azure Expertise with petabyte-scale datasets, ideally video-heavy Knowledge of distributed systems and ML data workflows Strong intuition for data quality metrics and ML-native thinking Bonus Points For: Visual Language Model (VLM) experience Building ML classifiers for data evaluation Automated quality control in training pipelines Familiarity with AI media and synthetic data tools What They’re Looking For: Systems thinkers who can build and own at scale Startup hustle combined with Big Tech polish (Meta, Google, etc.) Experience leading roadmaps and building from zero to one People who thrive in ambiguity, ownership, and operating without hand-holding The Process: Initial Call: 30 minutes (schedule-friendly, quick turnaround) Technical Deep-Dive: 90 minutes with an engineering leader Coding Interview: Hands-on session Final Chat: With the CEO and/or CSO They move fast - and will fast-track standout candidates. Ready to step into a critical role where your work will directly shape the future of AI?