Transform AI model training at •••••• by joining the Data Infrastructure team as a Software Engineer. Engage in building robust storage solutions for vast datasets.
In this pivotal position, you will design and implement the storage systems that facilitate seamless model training and evaluation. Collaborate closely with various teams to ensure productive data handling and system robustness. This role allows you to tackle unique challenges in data movement and storage management at an unprecedented scale.
Key Responsibilities:
• Develop and operate distributed storage solutions
• Manage and scale systems on Kubernetes platforms
• Work with data engineers to enhance reading and writing performance
• Address challenges in I/O operations with large datasets
• Optimize data durability and consistency for model training
Requirements:
• Proficiency in Python and/or Go programming
• Experience with Kubernetes and persistent storage solutions
• Deep understanding of storage principles and data management
• Knowledge of cloud storage services (e.g., S3)
• Familiarity with large-scale training patterns is helpful
Elevate your career in AI by solving complex challenges within cutting-edge storage infrastructures.
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