Machine Learning Engineer, Nlp

We are growing Uplinguo, a tech company developing applications for everyone to build up fluency in any language. Artificial intelligences are much better at learning languages than humans. We offer a methodical set of technologies to let ambitious, avid language learners learn languages the same way machines do.

Pronunciation is a very important piece of language learning - key to short- and long-term memory, key to reading fluency and audio understanding, and as a corollary, key to developing fluency by ingesting massive linguistic data - just like machines do. Also, our first tool will be feature speech processing capabilities for multilingual pronunciation assessment.

We build on a passion for language learning and a lifelong experience of learning languages from zero to fluent🤓, mixed with a scientific approach based on neuroscience research.

Our users build-up fluency, in any language. We bring the tools and train them to achieve their goals.

Uplinguo looks for machine learning / natural language processing / software development / technical leadership talents, we will love to hear about your experience and skills. We are looking for a strong profile to act as a principal engineer or CTO, ideally with know-how in applications development, as well as speech and natural language processing. Other remarkable profiles are of course of interest to us.

Responsibilities

Future work responsibilities might include, depending on your skills and the projects at hands:

• Lead the development of the mobile / web application, nice interface preferred
• Apply advanced statistical / ML methods and work with large, complex data sets, etc.
• Work on architecting and prototyping machine learning algorithms, and developing technologies/architectures that make machine learning algorithms better suited for low power resource constraint implementations.
• Work in a team that is focused on innovation and pushing the boundaries of what is possible with resource constrained systems, by managing iterations of innovating, building, and testing ideas.

Qualifications

• Experience as a ML Engineer, delivering and running ML models in production. Experience with machine Learning Frameworks (PyTorch, MXNet, Tensorflow, etc.)
• Excellent knowledge of natural language processing techniques and applications
• Very strong coding ability, experience in development in at least one mainstream programming language (Python, Java, C++ etc.)
• Outstanding communication skills
• BSc/MSc/PhD in Machine Learning, Computer Science or a related quantitative field
• Creative thinking, passion, drive, ability to learn quickly

(Preferred)

• Experience building large-scale production ML models and systems with a track record of innovation and having taken large machine learning-based products, and features, from conception to successfully delivering value to customers in production.
• Significant research and publication experience
• Experience building web and mobile apps from scratch
• Experience in developing custom neural network architectures and/or loss functions.
• Experience with Kubernetes, CI/CD, Docker, code optimization, parallel programming, etc.