Job Description
Position Title: Machine Learning Engineer
Location: Onsite 3 days per week in any of these locations. Seattle, NYC, Raleigh NC, Pittsburgh PA, Boston MA
Duration: 6+ Months potential to extend
Job Description::
Would you like to play a critical part in the next revolution of human-computer interaction? The client machine translation team is building the groundbreaking technology that enables connecting people across language barriers.
We are looking for Applied ML Engineer passionate about designing and developing solution to create scalable and high quality data asset to power client MT products.
Key Qualifications:
Solid programming and software engineering skills
Proficient in text processing with Python
Experience in natural language processing, machine learning or deep learning
Ability to analyze large data sets, perform data visualizations, develop hypotheses, and make insightful recommendations
A self-starter, proven ability to manage multiple projects to strict deadlines.
Good communication and documentation skills. ability to interact with all levels of engineers
Description:
Client Machine Translation (MT) is powered by high quality annotations and massive data acquisition. The MT applied ML engineer is instrumental in designing and developing a method, a pipeline, documentation for data extraction, data curation, data annotation, and data analysis and auditing, to create valuable data asset for Client MT products.
Responsibilities:
Develop data extraction, annotation, auditing pipeline to improve MT data annotation efficiency and quality
Develop large scale data processing pipeline in distributed computing environment
Document development for data asset management
Development of annotation project strategies, interfaces, and guidelines
Serve as an interface for feedback and questions from annotators back to MT engineers.
Education & Experience
Bachelor's or Master's in Computer Science, Machine Learning, Data Science or equivalent professional experience.
2+ year experience in machine learning and software engineering