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Software Engineer, Backend at Exa
Singapore, , Singapore -
Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

300000.0

Posted On

07 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Backend Engineering, High Throughput Systems, Low Latency Systems, Data Processing Pipelines, System Optimization, C++, Rust, Vector Databases, Web Crawling, Search Architecture

Industry

IT Services and IT Consulting

Description
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a backend engineer, you'd play a critical role in our search architecture. We're pretty flexible on what projects people work on based on their skills and interests. Desired Experience You have experience writing and maintaining high throughput, low latency systems You can build data processing pipelines that deal with millions of documents per day You’re comfortable optimizing a system to an exceptional degree You care about the problem of finding high quality information and recognize how important this is for the world Plus: Experience in some high performance language (C++, Rust, etc.) Example Projects Recreate Google-level keyword search over 10 billion pages in 1 month Build a state-of-the-art crawling system that works optimally for any website Build a custom vector database that runs over a billion vectors in under 100ms This is an in-person opportunity in Singapore. We’re happy to sponsor international candidates.
Responsibilities
The role involves playing a critical part in the search architecture to build massive-scale ML systems. Responsibilities include developing high-performance vector databases and state-of-the-art crawling systems.