Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox’s vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers.
We are backed by some of the finest people in the Silicon Valley who work at Andreessen Horowitz, Gradient Ventures (Google’s AI fund), Kleiner Perkins and First Round Capital.
What you’ll be doing
Executing and actioning on an infrastructure roadmap, collaborating with team members across engineering, product, and design
Maintaining and improving our cloud infrastructure
Improving and enhancing our on-premises offering
Automating deployments and processes using tools such as Ansible or Terraform
Creating and maintaining CI / CD pipelines for our services
Enabling development teams to monitor, analyze, and manage their services
Building out tools or frameworks to improve the overall development experience
Identifying and measuring key performance metrics for our infrastructure and defining service-level objectives (SLOs)
Participating in our on-call rotation
We’re looking for someone with
4+ years of relevant experience in an SRE, DevOps, or operations role
Experience with modern Linux systems and running services in production
Experience operating infrastructure in a major public cloud (AWS, GCP, Azure)
Experience with Kubernetes or other container orchestration systems
Experience with automation tools and technologies such as shell scripting, Ansible, and Terraform
Experience with database technologies such as PostgreSQL, MySQL, or other RDBMS
Experience with and an understanding of distributed systems
Experience deploying, maintaining, and automating services in on-premises environments
Experience with coding using languages such as Python or Golang
Experience with other open source technologies such as Redis, Elasticsearch, and RabbitMQ
Experience with SOC 2, FedRAMP, HIPAA, and other compliance-related programs
We believe that AI has the power to transform every aspect of our lives — from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there.
At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.