- Distributed Systems
- Relational Databases
Hive is a full-stack deep learning platform helping to bring companies into the AI era. We take complex visual challenges and build custom machine learning models to solve them. For AI to work, companies need large volumes of high quality training data. We generate this data through Hive Data, our proprietary data labeling platform with over 1,000,000 globally distributed workers, generating millions of high quality pieces of data per day. We then use this training data to build machine learning models for verticals such as Media, Autonomous Driving, Security, and Retail. Today, we work with some of the largest companies in the world to redefine how they think about unstructured visual data. Together, we build solutions that incorporate AI into their businesses to completely transform industries.
We are fortunate that investors like Peter Thiel (Founders Fund), General Catalyst, 8VC, and others see Hive's potential to be groundbreaking in AI business solutions. We have over 160 talented individuals globally in our San Francisco and Delhi offices. Please reach out if you are interested in joining the AI revolution!
Backend Engineer Role
Backend engineers are essential to all of our products and you will be making some of the most significant decisions for the company. You will work with other engineers to build robust features that span various parts of our full-stack deep learning platform. Our tech stack is a modern container-based microservice architecture. Technologies we use include Docker, Node, PostgreSQL, Redis, Cassandra and the usual Unix/Linux tools and workflows. We strive to build reliable, fault tolerant systems that can operate at scale with excellent reliability. We believe that code clarity is paramount to modern engineering teams. We are looking for people with a strong background or interest in building successful products or systems. You should be comfortable dealing with a lot of moving pieces and be excited about collaborating with others, both learning and teaching as we grow.
Design, implement or improve features in a variety of backend systems including our REST APIs, microservices, data ingestion and processing systems, and distributed task/job processing systems
Write and maintain scalable, performant code that can be shared across platforms
Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
Improve engineering standards, tooling, and processes
Practice test-driven development
Debug production issues across services and multiple levels of the stack
You have a Computer Science degree, or equivalent experience
You have a few years of experience building web applications
You have experience or a strong interest in writing applications in Node.js
You have experience implementing highly-available distributed systems/microservices
You have experience building scalable backend APIs
You have experience working with relational databases, Postgres preferred
Understanding monitoring and alerting platforms is a plus
You strongly believe in high code quality, automated testing, and other engineering best practices
You have attention to detail and a passion for correctness
You are comfortable learning new technologies and systems.
You have strong interpersonal and communication skills with a bias towards action
What We Offer You
We are a group of ambitious individuals who are passionate about creating a revolutionary machine learning company. At Hive, you will have a significant career development opportunity and a chance to contribute to one of the fastest growing AI startups. The work you will do here will have a noticeable and direct impact on the development of Hive.
Thank you for your interest in Hive.