Machine Learning Developer at News360
🇨🇦 (Posted Aug 7 2018)
About the company
News360 is a startup company dedicated to changing the world of news. We want to enable readers to find relevant and useful content faster and easier, publishers to create and monetize engagement, and advertisers to reach their consumers more effectively.
News360 employs state-of-the-art natural language processing and personalisation algorithms to build content personalization and analysis product for consumers and businesses, including the award-winning News360 mobile app, and the NativeAI publisher analytics suite. We provide personalised news recommendations tracking millions of different interests, and build publisher analytics tools that drive content strategies reaching millions of readers every day.
We are looking for a highly motivated Machine Learning Developer who is passionate about solving hard problems with data, with strong software development skills or an extended academic background.
Design, implement, and optimize machine learning models for event analytics, text processing, personalisation;
Analyze performance and event statistics data, present your findings to the team to help drive product decisions;
Write production-ready Python code that is easy to support;
Work with other engineers to launch and deploy new services.
Skills & requirements
Strong experience in classification, information retrieval, natural language processing, machine learning and related sub-fields.
Knowledge of machine learning theory and algorithms: SVM, random forest, gradient boosting methods etc.
Experience in processing large amounts of potentially dirty data.
Proficiency with Python and common machine learning libraries.
Good communication skills.
Creative and critical thinking capabilities and troubleshooting skills.
Work with minimal supervision, be proactive and self-motivated.
BS or MS in Computer Science or related field (Machine Learning, Data Mining, Natural Language Processing, Information Retrieval). PhD is a big plus.
Good to Have:
Proficiency in common machine learning/deep learning frameworks: sklearn, tensorflow, theano, torch, keras, etc.
Experience with common NLP tasks: language recognition, stemming & morphological segmentation/parsing, text categorization, clustering, text summarisation etc.
Knowledge of German, Spanish, Portuguese languages is a definite asset. French, Italian, Russian, Japanese, Chinese, Korean are also beneficial;
Publications in related fields;
Experience with Dask, Apache Spark, and similar software;