
Overview
Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list. We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started.
Smartling is looking for a creative and passionate Junior Research Enablement Engineer based remotely in the United States to work on internal tools to support the efforts of our LanguageAI research team. You will be working on a multi-disciplinary team to produce and support highly-scalable services that deliver the best-in-class experiences for team members. You will also have the opportunity to learn and grow from the various disciplines by taking on data and machine learning tasks that deliver high-impact results for the company. You will be joining an existing team researching, developing, and maintaining machine learning functionality in Smartling's translation management application that allows our clients and professional translators to manage the localization process for their websites and documents in an agile fashion. This includes classical machine learning methodologies and NLP technologies through LLM-based technologies.
Our Engineering Processes & Beliefs:
You Will
You Have
Preferred but not required
You Are
You Will Enjoy
Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences.
We use E-verify platform for the work authorization verifications.
*To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.
The US national pay range for this role is $75,000-$85,000. Final offer amounts are determined by multiple factors, including geographic location and candidate experience and expertise, and may vary from the amounts listed.
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Between 100 - 500 employees
2009
$223,318,000
Series E
$160,000,000 USD
Series D
$25,000,000 USD
Series C
$24,000,000 USD
Series Unknown
$100,000 USD
Series Unknown
$118,000 USD
Series B
$10,000,000 USD
Series A
$4,099,998 USD