Atypon () is the world’s largest technology company in the scholarly and professional publishing industry. Headquartered in Silicon Valley, California, Atypon is renowned for its technological leadership when it comes to online delivery of professional and scholarly publisher content.
Atypon’s online platform helps publishers manage, enrich, market and monetize any type of content and engage their users.
Atypon’s researcher tools make the workflows of practitioners, clinicians, and researchers more convenient and productive from discovery and reading to collaborating and authoring.
We are looking for talented, experienced and self-directed Machine Learning / AI / Big Data engineers to expand our AI R&D team in the areas of :
Natural Language Processing
Machine Learning Engineering including Deep Learning
Knowledge Extraction & Representation
Search & Recommendation
Senior-level ML engineers preferred but all levels may apply.
As part of the AI team :
You will engage on different projects that are critical to Atypon's next-generation of products.
You will work alongside machine learning researchers to design, develop, and deploy algorithms, systems and data pipelines that process and analyze content and data for AI-
powered text mining, information retrieval, similarity analysis, and recommendation services.
You will build high-performance services on top of Big Data management technologies, such as NoSQL back-ends and Lucene-
based search engines like Solr and Elastic Search, and you will work on distributed processing and data streaming platforms such as Apache Spark and KAFKA.
You must possess experience on working with large datasets and a firm understanding of the core Big Data algorithms and problems.
This is an exciting and challenging role where you will not only have the opportunity to collaborate with worldwide reputable research labs, but also work across a wide portfolio of products and have impact on them.
Atypon hosts almost 50% of the English-language Science, Technical, Engineering and Mathematics (STEM) publications in the world.
As a result, we can get our hands on plenty of data, use cases and combined with ample computing infrastructure our ML engineers can explore new ideas and develop novel solutions to help global researchers and publishers know more, do more and achieve more.
Deep understanding in most of the following areas : text analysis, natural language processing (NLP) / understanding (NLU), deep learning, information retrieval, collaborative filtering and / or content-based recommendation
Experience in developing and deploying machine learning services and solutions as part of a production system
Strong development skills in Python or Java implementing production machine learning systems at scale
Familiar with frameworks such as Keras, TensorFlow, PyTorch, scikit-learn, Gensim, WEKA, OpenNLP, etc
Proven ability to train, tune and evaluate ML models
Experience with (big) data engineering technologies and best practices
Team player who enjoys working collaboratively
Fluency in English written and oral
PhD with at least 2 years, or MSc with at least 3 years relevant commercial experience
NICE TO HAVE :
Hands-on experience with big data, large-scale ML, distributed processing and data streaming frameworks (e.g. Apache Spark, Apache Kafka, Angel parameter server, Elasticsearch, Apache Solr, MongoDB, CouchBase, Neo4J etc)
Experience in developing and deployment of large-scale commercial systems related to information retrieval, text mining, natural language processing or recommendation.
Familiar with cloud technologies, such as AWS, Google AI Cloud, etc
Opportunity to grow in a fast moving and dynamic organization with like-minded colleagues
Flexible working hours
Regular performance evaluations based on merit