Full-Time

Forward Deployed Engineer

Confirmed live in the last 24 hours

Labelbox

Labelbox

201-500 employees

Provides data labeling solutions for AI

Compensation Overview

$140k - $200k/yr

Mid

San Francisco, CA, USA

Hybrid model with 2 days per week in office

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
Data Analysis
Requirements
  • Master’s degree or higher in Computer Science, Engineering, Mathematics, or AI-related fields.
  • Proficiency in Python and data analysis.
  • Exceptional communication skills: ability to convey complex technical concepts clearly.
  • Strong project management and organizational skills.
  • Passion for AI and the intersection of technology, product, and customer needs.
Responsibilities
  • Understand the Data Needs of AI Leaders: Work directly with the most advanced AI labs to define and refine data strategies.
  • Design and Operate Human Data Pipelines: Build scalable, high-quality data pipelines to power next-gen AI.
  • Develop and Optimize Code: Write Python scripts for data processing and quality analysis.
  • Shape the Future of AI Infrastructure: Define engineering requirements to improve human data tools and workflows.

Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their tools create workflows that assign labeling tasks to the appropriate team members, ensuring high-quality results. 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 effective data labeling solutions across various industries.

Company Size

201-500

Company Stage

Series D

Total Funding

$188.9M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Labelbox's partnership with Google Cloud enhances its generative AI capabilities.
  • The introduction of auto-computed metrics aids in efficient model debugging and performance improvement.
  • Opening a new office in London expands Labelbox's reach in the European market.

What critics are saying

  • Increased competition from Google's Gemini platform may attract potential Labelbox clients.
  • Rapid AI advancements by tech giants pressure Labelbox to continuously innovate.
  • Expansion of the Google Cloud partnership could lead to over-reliance on a single partner.

What makes Labelbox unique

  • Labelbox offers advanced data labeling solutions for AI applications across multiple industries.
  • The platform supports Fortune 500 companies like Walmart, P&G, and Adobe.
  • Labelbox provides a unique combination of human supervision and automation for AI model training.

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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)

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

-10%

2 year growth

-10%
PYMNTS
Sep 24th, 2024
Google Slashes Prices, Upgrades And Boosts Performance Of Ai Models

Google’s latest artificial intelligence models could accelerate AI adoption in eCommerce and retail, developers say, as the tech giant unveils upgrades designed to attract more businesses to its Gemini platform. The company announced two updated production-ready models in a Tuesday (Sept. 24) blog post, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, which offer enhanced capabilities across a range of tasks, including product recommendations, inventory management and customer service automation. “The new release introduces advanced capabilities in math and vision tasks,” Sujan Abraham, a senior software engineer at AI firm Labelbox, told PYMNTS. “These models are designed for a wide range of tasks, including text, code and multimodal applications. They can process larger and much more complex inputs like 1,000-page PDFs, massive code repos and hour-long videos

Reworked
Sep 12th, 2023
Labelbox Introduces Large Language Model (LLM) Solution to Help Enterprises Innovate With Generative AI, Expands Partnership With Google Cloud

Labelbox introduces Large Language Model (LLM) solution to help enterprises innovate with generative AI, expands partnership with Google Cloud.

Datanami
Sep 12th, 2023
Labelbox Introduces LLM Solution to Help Enterprises Innovate with Generative AI, Expands Partnership with Google Cloud

Labelbox introduces LLM solution to help enterprises innovate with generative AI, expands partnership with Google Cloud.

Labelbox
Dec 20th, 2022
Debugging models made easy with auto-computed metrics

In the next week, Labelbox Inc.’ll be releasing auto-generated model metrics to debug your model, find and fix labeling errors, and improve the overall performance of your model before it hits production on real-world data.

Labelbox
Jul 21st, 2022
Labelbox Inc. launched Workflows on Jul 22nd 22'.

In the coming days, Labelbox Inc.'ll be adding an exciting new feature called Workflows.