
Machine Learning Researcher
2 days ago
The Staff Machine Learning Scientist will be part of a team conducting world-class Applied AI research on data analytics, contributing to the long-term research agenda in large-scale data analytics and machine learning. This role involves delivering innovative technologies and insights to strategic products and business.
This is an exciting opportunity to make key contributions to our strategic vision as a world-leading data-driven company.
The successful candidate must have a strong academic track record and demonstrate excellent software engineering skills.
- Formulate business problems as technical data problems while collecting key business drivers in collaboration with product stakeholders.
- Work with product engineering to ensure implementability of solutions, delivering prototypes and production code based on need.
- Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.
- Build needed data transformations on structured and unstructured data.
- Build and experiment with modeling and scoring algorithms, including development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques.
- Devise and implement methods for adaptive learning with controls on efficiency, methods for explaining model decisions where vital, model validation, A/B testing of models.
- Devise and implement methods for efficiently monitoring model efficiency and performance in production.
- Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
- Contribute to development and adoption of shared predictive analytics infrastructure.
This is a hybrid position. Hybrid employees can alternate time between both remote and office work.
Qualifications
Basic Qualifications:
• 8 or more years of work experience with a Bachelor's Degree or with an Advanced Degree.
• Relevant coursework in modeling techniques such as logistic regression, Naive Bayes, SVM, decision trees, or neural networks.
• Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++, or C#.
• Experience with one or more common statistical tools such as SAS, R, KNIME.
• Deep learning experience with TensorFlow is a plus.
• Experience with Natural Language Processing is a plus.
• Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a must.
• Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.
BenefitsThis is a hybrid position with opportunities for remote and office work.
Other OpportunitiesWe offer a dynamic and inclusive work environment that fosters collaboration, innovation, and growth.
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