Data Engineering Lead
Core
Build the data infrastructure that turns raw signals into training data for Hark's multimodal AI models.
Role type
Senior IC Data Engineering Lead (ML infrastructure)
Builds
Scalable data pipelines and infrastructure for multimodal model training
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Large-scale batch and streaming pipeline design, ML data pipeline expertise, Distributed systems, Data versioning, Schema evolution, Failure mode analysis, Data quality standards
Preferred skills
LLM/multimodal model training infrastructure, Human feedback data pipelines (RLHF/DPO), Data quality evaluation frameworks, Annotation tooling
Technologies
Spark, Beam, Flink, DVC, Delta Lake, Iceberg
Responsibilities
Design and build scalable data pipelines for text, audio, vision, and feedback signals; Own the data infrastructure stack end-to-end (ingestion, transformation, deduplication, quality filtering, versioning); Collaborate with model researchers to translate data requirements into auditable pipelines; Build tooling for data quality inspection and iteration; Define and enforce data quality standards and instrument pipelines for correctness and freshness; Design data systems for reproducibility and scale.
Seniority
Senior, hands-on IC