About Labelbox
Labelbox is pioneering the data factory for next-generation AI, providing top-tier training data for AI models. With a focus on high-quality, differentiated data, Labelbox's platform integrates expert labeling services and a leading data labeling platform. The company is supported by major investors like SoftBank and Andreessen Horowitz, serving Fortune 500 companies and top AI labs.
Role Overview
As a Senior Backend Engineer in the Orchestration team, you will be pivotal in developing the distributed software architecture essential for our data labeling services. This role involves:
- Designing and implementing large-scale workflow orchestration using advanced distributed systems techniques involving queues, databases, and job management.
- Collaborating with cross-functional teams including product, design, and other engineering groups to transform ideas into implemented features.
- Mentoring junior engineers and leading initiatives to drive project completion.
- Participating in sprint planning and standups, and supporting the team in resolving customer issues.
Key Responsibilities
- Develop features for orchestrating large-scale workflows.
- Engage in technical discussions and sprint planning.
- Mentor and guide less experienced team members.
- Stay updated with industry trends and incorporate new technologies as needed.
About You
- Bachelor’s degree in Computer Science or related field; advanced degree preferred.
- 5+ years of experience in backend engineering, particularly in distributed systems.
- Proficient in Python, TypeScript, and familiar with Kubernetes and other orchestration technologies.
- Excellent problem-solving, communication, and collaboration skills.
Why Join Us?
- Be part of a company that's at the forefront of AI technology.
- Work in a supportive, collaborative environment that fosters professional growth and development.
- Enjoy the flexibility of a remote-friendly hybrid work model, with opportunities for in-person collaboration in tech hubs.
Your Application
We value your privacy. All personal information submitted will be processed in accordance with our privacy policy. We encourage you to apply and join our innovative team, pushing the boundaries of AI technology.
Benefits Extracted with AI
- Remote-friendly hybrid model
- Collaborative environment
- Continuous learning and development
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