Senior Full Stack Engineer

Boston

Lilt

Build a global experience that customers love with Lilt's translation services and Contextual AI technology.

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Who we are

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, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

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.

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 headquartered in San Francisco with additional offices in Berlin,

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

As a Senior Full Stack Software Engineering, Global Experience (GX), you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on Lilt’s GX API and connectors platform–the front door to our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. GX is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities.

You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows. 

You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows.

Qualifications

  • Bachelor of Science or Masters of Science in Computer Science (Master preferred) 

  • 3+ years of experience building responsive/adaptive APIs

  • 3+ years of experience writing applications using Python, PHP, or C#

  • 2+ years of experience working on large-scale, distributed software systems 

  • Solid relational database knowledge and significant experience with very large MySQL installations are highly valued 

  • Professional fluency in English

Authorization to work in the US is a precondition of employment.

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

  • Compensation: Competitive salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays.

  • Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, Lilt pays for basic life insurance, short-term disability, and long-term disability.

  • Paid parental leave is provided after 6 months.

  • Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs ChatGPT Classification Computer Science Engineering GPT LLMs Machine Learning MySQL NLP PHP Python RDBMS Research

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Startup environment

Region: North America
Country: United States

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