Software Engineer, Hive

Backend

Salary not provided
Node.js
Postgres
Junior, Mid and Senior 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
Node.js
Postgres
Junior, Mid and Senior 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

  • You have experience or a strong interest in writing applications in Node.js
  • You have experience implementing highly-available distributed systems/microservices
  • You have experience building scalable backend APIs
  • You have experience working with relational databases, Postgres preferred
  • You strongly believe in high code quality, automated testing, and other engineering best practices
  • You have attention to detail and a passion for correctness
  • You are comfortable learning new technologies and systems
  • You have strong interpersonal and communication skills with a bias towards action

Desirable

  • Understanding monitoring and alerting platforms is a plus

What the job involves

  • Design, implement or improve features in a variety of backend systems including our REST APIs, microservices, data ingestion and processing systems, and distributed task/job processing systems
  • Write and maintain scalable, performant code that can be shared across platforms
  • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
  • Improve engineering standards, tooling, and processes
  • Practice test-driven development
  • Debug production issues across services and multiple levels of the stack

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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