Full-Time

Machine Learning Support Engineer

Confirmed live in the last 24 hours

Labelbox

Labelbox

201-500 employees

Provides data labeling solutions for AI

Enterprise Software
AI & Machine Learning

Junior, Mid

United Kingdom

Hybrid model with remote work and in-office presence expected.

Category
AI & Machine Learning
Customer Success
Customer Support
Customer Success & Support
Required Skills
Python
Git
JIRA
Requirements
  • 2+ years experience on a Technical Support team
  • BA/BS in Computer Science/Engineering degree
  • 2+ years of technical expertise in Python
  • Experience with Machine Learning a plus
  • An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if needed
  • Empathy, patience, phenomenal people skills
  • An ability to learn quickly to understand and articulate new technologies and corresponding value propositions
  • Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage workflow
  • A creative problem solver who isn’t afraid to get their hands dirty
  • Ability to quickly pick up a variety of software applications with ease
  • Experience with common support software like Intercom, GitHub, Jira, etc.
Responsibilities
  • Create great experiences for our customers when they need help. Build trust and advisory relationships with customers to help them better use the product.
  • Learn Labelbox's product at a deep level and help customers do the same. Learn what’s happening next with the product, and help customers prepare for the use of new features.
  • Go beyond the question being asked; understand how our customers define their own success with the product and help them work toward that success.
  • Proactively propose creative solutions to address customers’ business problems and goals.
  • Be a voice for our customers during internal discussions and projects at Labelbox. Represent their needs and struggles to help drive our products in a strong direction.
  • Monitor and identify trends in customer experiences. Work within the team and with other teams at Labelbox to give customers the information and tools they need to more effectively and efficiently support themselves in the use of the product.

Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling tools and analytics.

Company Stage

Series D

Total Funding

$183.7M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

46%

1 year growth

38%

2 year growth

33%
Simplify Jobs

Simplify's Take

What believers are saying

  • Labelbox's LLM solution aids enterprises in generative AI innovation.
  • Partnership with Google Cloud enhances Labelbox's AI capabilities and market reach.
  • Growing demand for AI-driven data labeling in healthcare boosts Labelbox's market potential.

What critics are saying

  • Competition from Google's Gemini platform may attract potential Labelbox clients.
  • Rapid AI advancements by tech giants pressure Labelbox to innovate continuously.
  • Reliance on partnerships like Google Cloud poses risks if partnerships change.

What makes Labelbox unique

  • Labelbox offers a data-centric AI platform with human supervision and automation.
  • The platform supports diverse data types, including images, videos, text, and documents.
  • Labelbox's SaaS model includes 'Boost Workforce' for scalable labeling capacity.

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Benefits

Competitive remuneration

Flexible vacation policy (we don't count PTO Days)

401k Program

College savings account

HSA

Daily lunches paid for by the company (especially convenient while working from home)

Virtual wellness and guided meditation programs

Dog-friendly office

Regular company social events (happy hours, off-sites)

Professional development benefits and resources

Remote friendly (we hire in-office and remote employees)