About Engineering at Lilt
Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.
About the Role
You'll be developing new features and services for the Lilt production backend. Everyone on the team does DevOps, too, so you'll need and will gain experience debugging a large-scale production system.
About Lilt
Lilt is a language translation services and technology company. We're building the next generation of localization, making it possible for every organization to communicate with their customers in the language of their choice through Lilt's high-quality, scalable, and affordable translation services.
Lilt is a high-performance, large-scale language translation system. We invest in and prioritize both workflow (i.e., usability and interface design) and backend NLP/AI systems. Since the translation workforce is distributed worldwide, there are interesting multi-region cloud engineering problems to solve. We have a strong preference for building our own AI technology, so you’ll be implementing and working with the latest techniques and ideas.
Our team values humility, grit, and professional excellence.
Qualifications
- Bachelor of Science or Masters of Science in Computer Science (Master preferred)
- Experience working on large-scale, distributed software systems
- Experience with, or at least willingness to learn, Node.js and related app server technologies
- Significant large-scale software engineering experience with Java and related JVM technologies
- Solid relational database knowledge and significant experience with very large MySQL installations are highly valued
- Basic knowledge of NLP and machine learning techniques is highly valued
- Professional fluency in English
