Systems Engineer, Hive

DevOps

Salary not provided
Docker
Kubernetes
Python
Bash
Linux
Postgres
Ruby
ELK
Jenkins
Ansible
Puppet
Chef
RabbitMQ
Ubuntu
Cisco
Junior level
San Francisco Bay Area
Hive

AI content moderation platform

Open for applications

Hive

AI content moderation platform

201-500 employees

B2BArtificial IntelligenceEnterpriseContentComputer VisionMachine LearningAutomation

Open for applications

Salary not provided
Docker
Kubernetes
Python
Bash
Linux
Postgres
Ruby
ELK
Jenkins
Ansible
Puppet
Chef
RabbitMQ
Ubuntu
Cisco
Junior level
San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceEnterpriseContentComputer VisionMachine LearningAutomation

Company mission

To use AI to unlock the next wave of intelligent automation.

Role

Who you are

  • Minimum 1 - 2 years of previous experience in development, operations, IT, or a related field
  • Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment
  • Able to multitask, prioritize, and manage time efficiently independently
  • Able to physically lift equipment at least 30 pounds
  • Can communicate effectively across teams and management levels

Desirable

  • Degree in computer science, or similar, is an added plus!

What the job involves

  • Automate manual operational processes
  • Improve workflows of developer, data, and machine learning teams
  • Manage integration and deployment toolingCreate, maintain, monitor, and audit infrastructure
  • Manage a diverse array of technology platforms, following best practices and procedures
  • Participate in on-call rotation and root cause analysis

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

Hive is an AI-as-a-service platform that empowers companies to make smarter decisions through intelligent automation. It is best known for its AI-powered image recognition system. It analyzes images of brands, products and celebrities that allow companies to understand when, where and how their assets are seen.

The challenge with artificial intelligence is that it takes a lot of human labor to make it all work. Hive has embraced this human element, employing over 2 million contractors to label images, video, text and audio content collected from the web. This annotated data is used to train Hive's content moderation AI. This has given it an edge in a competitive market which includes offerings from AI heavyweights such as Microsoft, Amazon and Google, as well as numerous startups like Sentropy and Spectrum Labs.

Hive has raised a significant amount of funding, closing a Series D round led by Glynn Capital in 2021. Hive is focusing on the continued development of its cloud-based deep learning models and plans to invest in further building its sales and marketing teams to expand its market presence.

Insights

Top investors

Few candidates hear
back within 2 weeks

16% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Apr 2021

$50m

SERIES D

Jun 2020

$35m

SERIES C

Total funding: $142.2m

Company benefits

  • Equity
  • Catered meals
  • Comprehensive insurance
  • Corporate gym membership

Company values

  • Product is paramount
  • Set the pace
  • Solve for scale
  • Communicate with candor
  • Responsible growth

Founders

Studied Computer Science and Math at Stanford. Was a Venture Associate at Mithril Capital Management. Co-founded Kiwi, an AI company, in 2014. Co-founded Hive in 2017.

Background in Computer Science and Philosophy. Graduated from Stanford and joined Google as a Software Engineering Intern. Co-founded Kiwi. Is a Research Assistant at Stanford.

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