Member of Technical Staff, Training Data Infrastructure
Mirage(2 months ago)
About this role
The Research Engineer (Member of Technical Staff) at Mirage will focus on developing advanced training data infrastructure for video and multimodal datasets, enhancing distributed training workflows, and optimizing data processing systems. This role requires building efficient pipelines, implementing telemetry, and improving the performance of training systems while collaborating closely with research and engineering teams. The ideal candidate should have a strong background in ML infrastructure development, including expertise in Python, high-throughput data pipelines, and a passion for tackling complex technical challenges.
Required Skills
- Infrastructure Development
- Data Processing
- Distributed Systems
- Data Loading
- Telemetry Implementation
- Core Systems Development
- Data Validation
- Quality Measurement
- Data Versioning
- Training Runs
+22 more
Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
- 3+ years experience in ML infrastructure development or large-scale data engineering
About Mirage
mirage.appMirage is a pioneering company redefining video generation and production through advanced AI technology. Based in New York City, Mirage develops innovative tools like the Captions app and Mirage Studio, which simplify the creation of short-form videos, making them accessible and scalable for users. The company's focus on hyperrealistic actors and emotive scripts empowers brands and creators to engage audiences effectively. Co-founded by Gaurav Misra and Dwight Churchill, Mirage aims to revolutionize the future of video content production.
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