What are the responsibilities and job description for the Staff Data Engineer, Data Platform position at Lilt?
STAFF DATA ENGINEER
Lilt is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, Canva, Bloomberg, Walmart, AWS, and Philips are using AI technology to deliver multilingual, digital customer experiences at scale.
As a result, Lilt's AI technology foundation is similar to ChatGPT and Google Translate, before our patented Contextual AI Engine, connector-first approach, and human-adapted feedback.
Our team is located globally in San Francisco, Indianapolis, London, and Berlin with hubs located in Washington D.C., New York City, and Boston. You can learn more about us and what it's like to work here on our Careers page!
Authorization to work in the U.S. is a precondition of employment.
The Engineering Team 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.
What you'll do
In collaboration with the Director of Engineering, the Staff Data Engineer will own the scaling and modernization of our data infrastructure to improve reliability and performance, and will collaborate on AI engineering projects to improve our AI data pipelines, product, and services. The Staff Data Engineer will also be charged with team lead responsibilities and will play a big part in roadmap definition and execution.
For Remote / Flexible
This position can be based out of our Indianapolis, IN or Emeryville, CA offices and will be expected to work in the office in a hybrid capacity. Or Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations. Fully remote applicants will also be considered.
Key Responsibilities :
- Design and implement event-driven and fault-tolerant systems to improve Lilt's data infrastructure, providing timely and reliable data to all areas of the business
- Apply your engineering experience to implement new data products and services to enable both internal and external customers
- Design and lead data team projects
- Share your knowledge with your colleagues, helping them to grow their technical skills
- Keep the technical excellence bar high, contributing to code quality, doing code reviews, increasing test coverage, etc.
- Partner with product team and help to decompose huge business requirements into smaller deliverables
Skills and Experience :
Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company and left to start a new company to address this need - Lilt.
At its core, Lilt has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so Lilt assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, Lilt has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.
Benefits
Lilt is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
