Senior Backend Engineer, Labelbox
Platform
$170-225k
Data training platform for ML applications
Job no longer available
Data training platform for ML applications
101-200 employees
Job no longer available
$170-225k
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- 5-8+ years of experience as a backend software engineer
- Expertise in a modern programming language (Python, Java, Kotlin, or TypeScript)
- Proficient in multiple storage systems (Relational Databases, Key-Value Stores, Cloud Buckets, etc.)
- Strong understanding of architectural concepts for large-scale distributed systems
- Expertise in building streaming ETL pipelines
- Experience with asynchronous messaging systems (Kafka, Google Pub/Sub, AWS SQS, RabbitMQ)
- Extensive experience with one or more public cloud platforms:
- Google Cloud Platform (GCP) (preferred)
- Amazon Web Services (AWS)
- Microsoft Azure
Desirable
- Familiarity with ReactJS and front-end development techniques
- An understanding of microservices architecture
- Knowledge of Google Spanner and ElasticSearch
- Working knowledge of orchestration systems (e.g., Kubernetes)
- Familiarity with DevOps tools, such as ArgoCD, CodeFresh, and DataDog
What the job involves
- Join our team of world-class engineers and build the next generation of AI products!
- As a Senior Backend Engineer in the Platform team, in this specific role, you'll be leading the development of various aspects of our core services around identity and access management (IAM)
- More specifically, this role within our Platform team will help drive the evolution of our IAM capabilities so that Labelbox’s customers can ensure that the AI models that they are developing on Labelbox are secure from unauthorized access, harm, or disruption
- Design, Develop, and Deploy: Own the design, development, and deployment of critical backend systems for enterprise-grade security, including role-based access, authentication, and authorization
- Scalability and Performance: Architect and implement highly scalable, secure, and performant systems that handle billions of records at blazing-fast speeds
- Customer Collaboration: Work closely with our customers to understand their issues, troubleshoot them, and use their feedback to continuously improve our platform
- Project Leadership: Lead initiatives from concept to execution, collaborating across teams to bring your vision to life, and act as a project owner
- Strategic Planning: Shape our company's future by defining the Platform team’s IAM roadmap and working hand-in-hand with senior leadership
- Innovation in AI: Play a key role in building new capabilities for an AI platform used by leading AI labs for developing powerful multi-modal large language models (LLMs)
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- 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)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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