
Machine Learning Engineer
Overview
Smartling was founded 14 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.
We are looking for a creative and passionate Machine Learning Engineer to work on our suite of cutting-edge in-house machine learning based services. This is a great match for you, if you are excited by learning, discussing, and using the latest techniques in the NLP space to build models and applications that can meet our platform's various linguistic needs.
You will be joining an existing team researching, building, deploying, and maintaining a suite of tools oriented towards generating best-in-class translations, extracting linguistic metadata, and creating systems to facilitate minimal effort analysis and transformations of content. These tools and applications will be integrated into a robust SOA infrastructure and will be used by thousands of people every day. Our rapidly growing client list includes top names from the technology and Fortune 500 worlds.
Our LanguageAI team approach
Agile / Scrum, “fail fast” approach
Data-driven decisions
You Will
Create assets, models and pipelines for machine learning models:
Research and understand linguistic characteristics of various locales and languages around the world
Understanding current metrics and recommending additional data points over linguistic data
Pre-processing data via Python
Feature engineering and model construction
Model training and validation via various Python libraries
Evaluating ML models once deployed
Training with the team to help with best practices and knowledge sharing
Engineer prompts, with and without fine-tuning, to work with state-of-the-art LLMs in the industry to transform and evaluate text for translation tasks
Collaborate with product/engineering team to deliver high quality features for internal and external consumption
Advise other teams on the feasibility and practicality of AI/ML features to add to the Smartling platform
You Have
BS+ degree in computer science, machine learning, or equivalent experience
Fluency in Python (3+ years experience required)
Expert-level understanding of statistics and probability
Expert knowledge of deep learning libraries - Pytorch, Tensorflow, etc.
Experience in data analytics with a deep understanding of statistics and the fundamental mathematics behind various ML algorithms
Experience using various NLP techniques to solve real-world problems
Know your way around a relational database
Proficient in written and spoken English. It may require discussing client requirements or troubleshooting an issue
Strong communication and documentation skills
A home office setup conducive for working remotely, and the ability to work effectively as a remote team member*
Preferred but not required
MS+ degree in machine learning or equivalent experience
Experience with Java, Kotlin, Rust
Experience with NoSQL databases and large data sets
Experience with DevOps, AWS
Familiar with software engineering methodologies
Multilingual
You Are
Enthusiastic. Someone who is eager to learn and advance his/her 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
You Will Enjoy
Freedom 🏡- we are remote-first
Growth - an opportunity to learn and advance your career
Wealth 💰 - we offer a competitive compensation package
Wellness - location-based and contract-based benefits
Balance - flexible PTO
Culture 🤝- an energetic, value-driven, and fun culture and team spirit
Bonus - employee referral programs and Apple equipment
We are 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.
*To work from home, you must have a strong internet connection, quiet space, and a professional (distraction and clutter-free) background.
Don't wait, tomorrow could be too late.
About the company
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