Data Operations Engineer, Labelbox

$70-90k

+ Equity Packages

SQL
AWS
GCP
Python
Azure
Data Flow
Junior and Mid level
New York
Labelbox

Data training platform for ML applications

Job no longer available

Labelbox

Data training platform for ML applications

101-200 employees

B2BArtificial IntelligenceInternal toolsMachine LearningSaaS

Job no longer available

$70-90k

+ Equity Packages

SQL
AWS
GCP
Python
Azure
Data Flow
Junior and Mid level
New York

101-200 employees

B2BArtificial IntelligenceInternal toolsMachine LearningSaaS

Company mission

To build the best products for humans to advance artificial intelligence.

Company mission

To build the best products for humans to advance artificial intelligence.

Top investors

Few candidates hear
back within 2 weeks

46% employee growth in 12 months

Our take

Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.

Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.

Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.

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Freddie

Company Specialist at Welcome to the Jungle

Benefits

  • College savings account
  • Regular company social events (happy hours, off-sites)
  • Professional development benefits and resources
  • Remote friendly (we hire in-office and remote employees)
  • Virtual wellness and guided meditation programs
  • Flexible vacation policy (we don't count PTO Days)
  • 401k Program
  • HSA
  • Daily lunches paid for by the company (especially convenient while working from home)
  • Dog-friendly office

Company values

  • Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
  • Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
  • Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions

Funding (last 2 of 5 rounds)

Jan 2022

$110m

SERIES D

Feb 2021

$40m

SERIES C

Total funding: $188.9m

This company has top investors

Leadership

Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.

Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.

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