Note: The job is a remote job and is open to candidates in USA. The company is an AI research organization focused on next-generation multimodal models for media and interactive experiences. The Research Engineer, Data will design datasets, run experiments, and build data pipelines that improve model capabilities across generative and interactive AI applications.
Responsibilities
- Design multimodal, multitask datasets to unlock new model capabilities
- Run controlled experiments to understand how data impacts model performance
- Build and scale pipelines for synthetic data generation, filtering, and quality control
- Define evaluation frameworks and benchmarks to measure real-world model improvement
- Partner with cross-functional teams to translate product goals into data strategies
Skills
- 4+ years of experience in machine learning, ideally with a data-centric focus
- Experience working with large multimodal datasets and generative models
- Strong intuition for how data quality and composition impact model behavior
- Experience across the full ML lifecycle, from data to training to evaluation
- Proficiency with ML frameworks such as PyTorch or JAX
- Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
- Strong interest in advancing next-generation AI systems
- Experience with synthetic data generation or data curation at scale
- Background working on multimodal or video-based models
- Exposure to evaluation and benchmarking for generative systems
Benefits
- Equity
- USA Remote
Company Overview
Company H1B Sponsorship