Jr. Research Enablement Engineer

Smartling was founded 16 years ago to make localization and translation seamless. Today, Smartling is profitable and backed by Battery Ventures, a global technology-focused investment firm, supporting company growth and expanding our market share and leadership position. We are the only cloud-based, AI-enabled translation platform that combines a Neural Machine Translation Hub and professional language services, empowering teams to collaborate in real-time to create experiences customers love.

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 Language

AI 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.

• TDD - Test Driven Development
• SOA - Service Oriented Architecture and APIs
• Full test automation - we have no QA team
• Dev Ops is not a team, it is a culture

• Architect, design, implement and maintain applications, notebooks, frameworks, scripts, and infrastructure components
• Work with data to perform, implement, and deploy various machine learning oriented services, frameworks, and scripts
• Conduct architecture and code reviews
• Design and implement testing strategies to maximize product quality
• Help conduct research with other members of the team

• Fluency in Python
• Experience with Java or Kotlin
• Fundamental or better understanding of probability and statistics
• Know your way around a relational database
• Familiarity with asynchronous patterns and messaging technologies
• Familiarity with Design Patterns and making scalable stable systems
• Understanding of distributed computing principles and algorithms
• Strong communication and documentation skills
• BS+ degree in computer science or equivalent experience
• A home office setup conducive for working remotely, and the ability to work effectively as a remote team member*

• Experience with Data Science tasks
• Experience with Rust and other languages
• Experience with No
  
  SQL databases and large data sets
• Experience with NLP techniques
• Experience with LLM fine-tuning and prompt engineering

• Enthusiastic. An Opportunity to learn and advance your career
• Value-Driven. An energetic, driven, and team-oriented individual who enjoys a fun and exciting culture
• Detail-oriented. Supremely well organized with attention to detail
• A Team Player. Ability to work effectively and cross-functionally within all levels of management, both internally and externally
• Freedom 🏡 - we are remote first
• Growth - an opportunity to learn and advance your career
• Wealth 💰 - we offer a competitive salary and 401(k) + company match
• Wellness - health insurance; free medical plan for you and your family
• Balance - flexible PTO + 11 holidays; generous parental leave
• Culture 🤝- an energetic, value-driven, and fun culture and team spirit
• Bonus - employee referral program and Apple equipment

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.

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.