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Full-Time

Senior Full-Stack Engineer

Machine Learning Engineering

Confirmed live in the last 24 hours

Labelbox

Labelbox

51-200 employees

Provides data labeling solutions for AI

Enterprise Software
AI & Machine Learning

Compensation Overview

$190k - $225kAnnually

Senior, Expert

San Francisco, CA, USA

Category
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Kubernetes
Agile
Python
MySQL
Google Cloud Platform
Requirements
  • 5+ years of full-stack engineering expertise, with a passion for crafting exceptional user experiences on the frontend and building scalable and reliable systems, ensuring a seamless user journey.
  • Proficient in Typescript, Node.js, GraphQL. Comfortable with Python, Kubernetes, and GCP (MySQL, Spanner, GCS, PubSub). You've honed your skills in leveraging these technologies over 3+ years to architect robust and efficient solutions.
  • 3+ years of experience in frontend frameworks such as React/Redux, Angular. Adept at translating designs into responsive and interactive user interfaces.
  • Strong ownership mentality, fearlessly pushing boundaries to elevate your team and Labelbox's offerings. Your commitment to customer satisfaction drives you to explore innovative solutions.
  • A self-starter who thrives in a dynamic and agile environment and takes the initiative to get things done. You excel at devising elegant and streamlined solutions for complex challenges.
  • Excel at writing high-quality code with a focus on test coverage and taking a disciplined approach towards timely delivery of commitments.
Responsibilities
  • Empower the future of AI interaction: Develop user-friendly interfaces for model inference pipelines, model registry. Enable the development of powerful multi-modal AI models for generative AI by developing interactive chat editors with multimedia support. This involves tackling challenges like integrating diverse data types (text, image, audio, video) and building seamless user experiences around them.
  • Be a driving force in a high-impact team: Collaborate with engineers, product managers, and designers to bring features to life, squash bugs, while consistently keeping tech debt in check.
  • Crack the code: Tackle complex technical challenges that demand sharp problem-solving skills and a knack for navigating ambiguous territory.
  • Be a customer champion: Partner with our support team to address customer questions and provide elegant solutions to their challenges.
  • Own your code: Join our support rotation, ensuring our systems run smoothly around the clock.
  • Drive impactful change: Take the initiative to propose and implement process improvements, elevating the efficiency and impact of our engineering team.
  • Document your wisdom: Share your expertise by authoring and reviewing technical documents, guaranteeing the delivery of robust and well-defined solutions.

Labelbox offers data labeling solutions for artificial intelligence applications, providing tools to label images, videos, text, and documents efficiently. Their platform allows businesses to create workflows that assign labeling tasks to the appropriate team members, ensuring high-quality results. Unlike competitors, Labelbox also provides a "Boost Workforce" service, enabling clients to scale their labeling capacity with external teams. The company's goal is to enhance AI development by improving the efficiency and quality of data labeling across various industries.

Company Stage

Series D

Total Funding

$208.9M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-12%

2 year growth

-16%
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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.

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)