Thomson Reuters provides professionals with the intelligence, technology and human expertise they need to find trusted answers. We enable professionals in the financial and risk, legal, tax and accounting, and media markets to make the decisions that matter most, all powered by the world’s most trusted news organization.
Thomson Reuters is at the forefront of developing technology that will revolutionize how people access and use information by interacting with intelligent machines.
We are looking for candidates with innovative approaches and the expertise to combine and improve existing technologies into our products that will help our professional customers find the answers they are looking for. Do you want to be part of a creative smart team working on leading edge problems along side other research scientists and engineers?
We are currently seeking passionate Research Scientists with varying degrees of experience, who are interested in taking applied Artificial Intelligence technologies to the next level. We are looking for a creative individuals who can understand complex business problems, develop scalable algorithms and prototypes to demonstrate the art of possible.
Applicants should have significant experience in one or more of the following areas: Knowledge Representation and Reasoning, Knowledge Bases, Probabilistic Graphical Models, Bayesian Belief Networks, Inference Engines, Natural Language Processing, Machine Learning, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, and/or Discourse Modeling.
Key Responsibilities
* Design, implement and validate algorithms at scale to solve challenging real world problems
* Collaborate with technologists and business stakeholders to drive innovation from conception to production
Qualifications and Experience in some of the below:
* PhD in Computer Science, Computational Linguistics, or related field preferred, or Masters degree with 2+ years of relevant industry experience
*
Proficient programming skills in a high-level language (e.g. Java, Scala, Python, C/C++, Perl, Matlab, R)
* Experience with statistical data analysis, experimental design, and hypotheses validation
*
Familiarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methods
* Project-based experience with some of the following tools:
* Applied machine learning (e.g. libSVM, Shogun, Scikit-learn or similar)
* Deep Learning tools (e.g., Keras, Tensorflow, Theano, FastText or similar)
* Natural Language Processing (e.g., ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP, NLTK, or similar)
* Statistical data analysis and experimental design (e.g., using R, Matlab, iPython, etc.)
* Information retrieval and search engines, e.g. Solr/Lucene
* Distributed computing platforms, such as Hadoop (Hive, HBase, Pig, Spark, GraphLab)
* Databases (traditional and noSQL)
Must be a self-motivated, lifelong learner, who is passionate about turning new ideas into solutions for our customers
Results-driven focus with the ability to prioritize deliverables that have the most significant, measurable impact
Excellent oral and written communication skills
At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as onecollaborating to reach shared goals, and developing through challenging and meaningful experiences. With around 50,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performanceand their own.
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
Intrigued by a challenge as large and fascinating as the world itself? Come join us.
To learn more about what we offer, please visit careers.thomsonreuters.com.
More information about Thomson Reuters can be found on thomsonreuters.com.