Research Scientist (AI & Machine learning)
Main duties and responsibilities: What we'll challenge you with?
You will join a team of AI, machine learning, and big data graduates from the very top Universities world-wide, that all share a deep passion for both engineering and science. We take a highly collaborative approach and expect team members to help out where they feel they can contribute and enjoy doing so, all the while contributing to the team's core mission. You will take ownership of
Design and development of classifiers for the large-scale classification, extraction, and understanding of web pages, their fragments, and specific structures on those pages
Verifying and improving our training data - we have easily one of the largest corpus of training data for structured data extraction from the web including hundreds of thousands of sources and the ability to automatically generate new training data for previously unknown sources - and we want you to help improve this process even further
Integrating user and implicitly gathered feedback into a flexible retraining framework including the ability to adjust the resulting classifiers
Continually define your role as we grow.
What you'll get out of it?
You will be working on some of the most challenging problems in data acquisition, knowledge base construction, and data integration with cutting edge techniques.
You will be challenged to expand your skill set constantly and together with your team members dive deep into problems to find the best solution.
Develop and strengthen a highly competitive skill set in an environment that encourages experimentation and creativity
A sense of ownership you won't find elsewhere easily
Great people on teams all over the world
Get in early as a senior member of a growing department
Be at the heart of the growing data science community in London
Enjoy a great work environment in Shack 15 ( SHACK15 )
Located in the heart of Shoreditch in London
Skills, qualifications and experience: Selection Criteria
Our ideal candidate has (essential criteria):
3+ years of experience with large-scale applications of AI technologies or equivalent academic background, as witnessed by substantial contributions to large-scale AI systems or equivalent published peer-reviewed work
2+ years of experience with practical deployment and maintenance of ML systems, as witnessed by substantial operational contributions to such systems.
Experience in designing large-scale systems, as witnessed by substantial contributions to systems processing millions of data items at production-level
Experience and passion for finding solutions to problems that haven't been solved before
Feels passionately about software quality and takes pride in their work
Believes in validation through software and rapid prototyping
Fluent in English (verbal and written) and loves to work, learn, and teach others
Driven and self-reliant, without losing track of the "big picture"
Bonus points for (desirable criteria):
Experience in applications of ML to web sites and/or documents
Experience with ontology or conceptual modelling
Strong background in Java, e.g., through contributions to an open-source project
- Experience in designing and developing REST APIs