Full-Time

Machine Learning Support Engineer

Updated on 11/15/2024

Labelbox

Labelbox

201-500 employees

Provides data labeling solutions for AI

Enterprise Software
AI & Machine Learning

Compensation Overview

$70k - $110kAnnually

Junior, Mid

New York, NY, USA

Hybrid model with in-office presence required.

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 efficiently label images, videos, text, and documents. 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 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 that improve efficiency and output.

Company Stage

Series D

Total Funding

$183.7M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

46%

1 year growth

26%

2 year growth

30%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $110 million Series D funding led by SoftBank’s Vision Fund 2 and participation from other prominent investors indicates strong financial backing and growth potential.
  • Labelbox's continuous feature updates, such as auto-computed metrics and an updated text editor, demonstrate a commitment to improving user experience and staying ahead in the market.
  • The opening of a new office in London signifies Labelbox's expansion into the European market, offering new opportunities for growth and market penetration.

What critics are saying

  • The competitive landscape in AI and data labeling is intense, with numerous players vying for market share, which could impact Labelbox's growth.
  • Dependence on large-scale clients in specific industries like agriculture and healthcare may pose a risk if these sectors face downturns.

What makes Labelbox unique

  • Labelbox's focus on AI-enabled data labeling tools for diverse data types sets it apart from competitors who may specialize in only one type of data.
  • Their SaaS model combined with 'Boost Workforce' services allows clients to scale their labeling operations efficiently, a unique offering in the data labeling market.
  • The recent introduction of Large Language Model (LLM) solutions and expanded partnership with Google Cloud highlights their commitment to staying at the forefront of AI innovation.

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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)