Machine Learning Engineer, Smartling

• 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
• 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*
• 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
• To work from home, you must have a strong internet connection, quiet space, and a professional (distraction and clutter-free) background

Desirable

• 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
• 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
• 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