About the Job
We're seeking a passionate Data Engineer to join our fast-paced, early-stage startup and help build the data infrastructure that powers next-generation AI models. You'll work alongside a world-class team of engineers from Stanford and IIT, designing and implementing scalable data pipelines, crawlers, and extraction systems that handle massive volumes of data.Key Responsibilities:
1. Build robust data pipelines from the ground up to support AI model training and inference
2. Develop high-performance web crawlers and API integrations to collect data from diverse sources
3. Design and implement data extraction systems that can process and transform large datasets efficiently
4. Scale infrastructure to handle growing data volumes and computational demands
5. Manage and optimize large-scale data workflows with a focus on reliability and performance
6. Implement observability solutions for monitoring and debugging complex data pipelines
7. Collaborate closely with ML engineers and data scientists to ensure seamless data flow for AI models
Ready to Build the Future?
1. If you're excited about building scalable data infrastructure that powers AI at scale, we'd love to hear from you. Join us in creating technology that will transform industries and make a lasting impact.
2. We are an equal opportunity employer committed to diversity and inclusion.
Number of Openings
4 openingsPerks of this Jobs
Informal dress code Free snacks
Skills
Python
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