Job Description
The Product Engineer, AI Platform - Data Infrastructure role at Labelbox involves designing and developing the core data infrastructure that powers the company's AI platform. This role is crucial for ensuring the seamless flow, storage, and processing of data. The engineer will work on scalable systems, anchored by high-performance databases, to support large-scale workflows, high-throughput data I/O, and streaming capabilities. They will collaborate with stakeholders to transform ideas into robust solutions, enhancing platform adoption and customer success.
Role involves:
- Designing and building scalable data infrastructure.
- Optimizing database systems for performance and reliability.
- Developing and maintaining data pipelines.
- Collaborating with team members to align data infrastructure with platform goals.
- Mentoring less experienced engineers.
- Resolving customer-facing data issues.
Requirements:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 2+ years of work experience in a software or data-focused company.
- Deep knowledge of designing and managing scalable database systems.
- Strong experience with data infrastructure components.
- Proficiency in optimizing databases for performance.
- Previous experience with distributed systems tools.
- Knowledge of backend development using languages like Python, Java, or TypeScript.
- Proficient in data structures, algorithms, and system design for large-scale data management.
- Excellent communication and collaboration skills.
Labelbox offers:
- High-impact environment with expanded responsibilities.
- Opportunity to work at the cutting edge of AI development.
- A culture that rewards high agency and rapid execution.
- Continuous learning and evolution.
- Clear ownership of responsibilities.