R&D Manager - NLP Engineer at Thingthing
🇪🇸 Spain › Barcelona (Posted Nov 26 2018)
About the company
At Fleksy we believe the future will be one where switching between apps on your mobile will be a thing of the past. Our mission is simple: revolutionise the way we type and interact with our mobile devices.
We are looking for a new member to join our R&D team. As a R&D Manager - NLP Engineer your work will impact an app used by hundreds of thousands of people all over the world. By joining Fleksy you will:
Work from sunny Barcelona within a small entrepreneurial team
Share your skills and experience with the company.
Contribute actively to our roadmap and processes with new ideas.
Help us develop the next big thing in mobile interaction.
Manage R&D team of two NLP engineers.
Plan and lead R&D efforts in the following areas: Multilingual spelling correction algorithms for mobile devices, sentiment analysis, user profiling and intent classification.
Drive the collection of new data and the refinement of existing data sources.
Work closely with a product engineering team to identify and answer important product questions.
Answer product questions by using appropriate statistical techniques on available data.
Communicate findings to product managers and engineers.
Analyse and interpret the results of product experiments.
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
Skills & requirements
PhD in computational linguistics, artificial intelligence or related technical field.
A strong passion for empirical research and for answering hard questions with data.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Excited to apply artificial intelligence methods and algorithms on resource limited devices.
Working permit in the EU.
Fluency with Python.
Experience with machine learning frameworks: Sci-Kit, Torch.
Experience with NLP frameworks: NLTK, CoreNLP, OpenNLP.
Experience with deep learning frameworks. Tensorflow, PyTorch or Keras is a plus.
Great team worker
Structured and autonomous
Confident communicator in English
Nice to have
Experience working with large data sets, experience working with distributed computing tools is a plus (Map/Reduce, Hadoop, Hive, etc.).
Familiarity with NoSQL databases, relational databases and SQL.
Experience with ObjC, Swift, C++ or Java (NDK is a plus).
Start-up mentality and ability to adapt to fast changing requirements/goals
Other machine learning jobs that might be interesting
Machine Learning Research Software Engineer - Mind Foundry (July 2021)
Edinburgh, United Kingdom
We're looking for an experienced Machine Learning Research Software Engineer to join our expanding team. Are you passionate about what you do and interested in tackling some of the world's most challenging data science problems directly with our clients and su...
Machine Learning Engineer (m/f/d) - Industrial Data Science and Software - Smart Steel Technologies GmbH (July 2021)
APPLYING MACHINE LEARNING TO PROCESSES, NOT PEOPLEAt Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional...
Lead NLP Data Scientist - Tessian (July 2021)
London, United Kingdom (Remote work possible)
Data Science at TessianOur mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we...
Software Engineer (ML) - Mind Foundry (July 2021)
Oxford, United Kingdom (Remote work possible)
We’re looking for an experienced Software Engineer (Machine Learning) to join our rapidly growing University of Oxford company in our Engineering team. We are a group of passionate, skilled and inquisitive individuals working together in an open, transparent...
Software Engineer - Machine Learning - Yelp (July 2021)
Leeds, United Kingdom
Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers–and all of these numbers are constantly growing. Yelp’s machine learning engineers turn raw data...