Full-Time

Senior Full-Stack Engineer

Machine Learning Engineering

Posted on 7/11/2024

Labelbox

Labelbox

201-500 employees

Provides data labeling solutions for AI

Enterprise Software
AI & Machine Learning

Compensation Overview

$190k - $225kAnnually

Senior

Oakland, CA, USA

Hybrid model with a focus on collaboration in San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland.

Category
Applied Machine Learning
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Kubernetes
Python
React.js
MySQL
Node.js
Redux.js
GraphQL
TypeScript
AngularJS
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
  • 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.
  • Collaborate with engineers, product managers, and designers to bring features to life, squash bugs, while consistently keeping tech debt in check.
  • Tackle complex technical challenges that demand sharp problem-solving skills and a knack for navigating ambiguous territory.
  • Partner with our support team to address customer questions and provide elegant solutions to their challenges.
  • Join our support rotation, ensuring our systems run smoothly around the clock.
  • Take the initiative to propose and implement process improvements, elevating the efficiency and impact of our engineering team.
  • 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, 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 solutions.

Company Stage

Series D

Total Funding

$183.7M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-10%

2 year growth

-9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.
  • Auto-computed metrics reduce error correction time and improve model performance.
  • Opening a London office facilitates European market expansion and better client service.

What critics are saying

  • Competition from Google's Gemini platform may attract potential Labelbox clients.
  • Rapid AI advancements by tech giants could outpace Labelbox's current offerings.
  • Reliance on partnerships like Google Cloud poses risks if these change or dissolve.

What makes Labelbox unique

  • Labelbox offers advanced data labeling solutions for AI applications across multiple industries.
  • The platform supports complex NLP use cases, attracting tech and communication sectors.
  • Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.

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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)

INACTIVE