Senior Software Engineer, AI Platform, Data Systems at Labelbox

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Expertise in high-performance databases (relational, NoSQL, cloud-native)
Experience with distributed systems for data processing, storage, and streaming
Ability to design scalable systems anchored by databases to support large-scale workflows, high-throughput data I/O, and streaming capabilities
Senior-level software engineering experience in data infrastructure or AI platforms
Cross-functional collaboration skills with Product, Design, and other stakeholders
High agency, ownership, rapid execution, and continuous learning mindset

Responsibilities

Lead the design and development of core data infrastructure powering data flow, storage, and processing for the AI platform
Design and build scalable data infrastructure, integrating high-performance databases with distributed systems for data processing, storage, and streaming
Optimize database systems for performance, reliability, and scalability, including efficient data retrieval, indexing, and querying to support AI workflows
Own critical components of data infrastructure, including database architecture
Work end-to-end on projects from design to deployment
Collaborate cross-functionally with Product, Design, and stakeholders to transform ideas into robust, scalable solutions that enhance platform adoption and customer success
Enable customers to efficiently manage and stream data for training next-generation AI models

Skills

Key technologies and capabilities for this role

Annotation ToolsWorkflow AutomationQuality ControlData LabelingAI PlatformData Systems

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

The role requires expertise in designing scalable data infrastructure, high-performance databases (relational, NoSQL, cloud-native), and distributed systems for data processing, storage, and streaming.

What is the company culture like at Labelbox?

Labelbox offers a high-impact environment like an early-stage startup, emphasizing impact over process, technical excellence, innovation at speed, continuous growth, and clear ownership with autonomy.

What makes a strong candidate for this position?

Strong candidates demonstrate high agency, rapid execution, ownership of critical components like database architecture, and the ability to work end-to-end on projects while collaborating cross-functionally.

Labelbox

Provides data labeling solutions for AI

About Labelbox

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 that streamline workflows.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$183.7MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

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)

Risks

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.

Differentiation

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.

Upsides

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.

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