Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
About the Role
As a Senior DevOps Engineer at Labelbox, you will not only play a crucial role in shaping and implementing our DevOps strategies but also in driving our company's growth. Your innovative solutions and scalable designs will be key in meeting our evolving needs. You will lead the efforts in ensuring our systems are resilient, secure, and efficient, and your expertise will guide critical decisions around our infrastructure architecture.
Your Day to Day
- Collaborate with teams to integrate and deploy new features and services
- Continuously optimize our CI/CD pipelines to improve speed, reliability, and maintainability
- Conduct code reviews for pull requests, ensuring high standards of quality and consistency
- Participate in the team’s on-call rotation, providing timely and effective support
- Diagnose and resolve production issues, minimizing downtime and ensuring system stability
- Lead efforts in monitoring, troubleshooting, and ensuring security and compliance
About You
- 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related field, with a proven track record of managing and scaling cloud-based infrastructure
- Expert knowledge of Kubernetes, Containers, Helm, and Terraform
- Proficiency with CI/CD tools and practices (e.g., GitHub Actions, GitLab, etc), with experience in optimizing and maintaining pipelines
- In-depth knowledge of cloud platforms (e.g., Google Cloud, AWS, Azure), including best practices for security, networking, and cost management
- Enjoy hands-on troubleshooting and tracing problems through applications and networks
- Programming/scripting languages like Bash, Python, JavaScript, etc.
Nice to Have
- Experience with maintaining Postgres, MySQL, and Redis
- Experience with Datadog
- Experience with application and infrastructure security practices
- Experience using APM metrics to resolve application performance issues
Engineering at Labelbox
We build a comprehensive platform and end-to-end tool suite for AI system development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments, daily, to build and deploy AI systems that have a real positive impact in the world.
We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.
We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$190,000—$225,000 USD
Excel in a remote-friendly hybrid model.
We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
Top Skills
What We Do
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
Why Work With Us
We’re committed to excellence and understand the importance of bringing our talented people together. While we continue to embrace remote work, we’ve transitioned to a Hub-Centric Remote Model with a focus on nurturing collaboration and connection within our dedicated hubs in the SF Bay Area, NYC, Miami-Fort Lauderdale, and Warsaw, Poland.
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