Internship Position in Dynamic Information Retrieval and User Satisfaction

University College London and Context Scout

London

 

Apply for an 8-12 week summer machine learning internship working with University College London and Context Scout, who are collaborating to build an AI interface between the web browser and web.

Right now, web browsers render webpages but do not understand the content or how it relates to previous webpages or searches. This forces us to keep tabs open, do hundreds of searches, take notes and so on, meaning it takes work to do work online. With UCL and Context Scout's research, the web browser is transformed into a dynamic interface to information that adapts to your ongoing task, searches for information on your behalf and connects you to your favourite apps.

Context Scout's MVP is being used by beta testers in over 100 companies worldwide and is backed by top investors in the UK and US. The research behind the tech originated in UCL and has been developed for over 6 years before the company was founded at Entrepreneur First 2 years ago. 

You'd be joining a team that has extensive entrepreneurial, academic and commercial experience who loves operating at the intersection of deep machine learning research and obsessive user experience.

You can read more about how we're building a new interface to the web https://medium.com/context-scout/the-web-needs-a-new-interface-d85d96202a9aand our aim to build the next generation search technology https://medium.com/context-scout/searching-outside-the-box-c124fdd2cfbc

----------------------------- Your Responsibilities ---------------------------

As a research intern at Context Scout, you will assist our machine learning team in building and testing bespoke NLP and IR technology:

á       You will design and develop machine learning techniques to model customer behaviour and preferences.

á       You will work with large and complex datasets of web browsing behaviour to investigate underlying patterns, correlations and trend. 

á       You will research and leverage new machine learning methodologies to improve current products and influence the future roadmap.

á       You will contribute to academic publications submitted to top tier conference venues and journals

á       You will work at the forefront of web search technology with a dedicated team of engineers, researchers and entrepreneurs

-------------------------------- Qualifications ---------------------------

You should have: 

 

á       Solid previous experience in solving large analytical problems using statistical, machine learning or other quantitative methods (e.g. supervised/unsupervised learning, graphical models, time series analysis, statistical testing)

á       B.S. degree (or higher) in Computer Science or Electrical Engineering (or equivalent experience)

á       Solid programming skills in at least one of, Python, Scala, C/C++ or Java (Python is preferred).

á       Self-motivated researcher with ability to work on industrially relevant research

 

Experience with some of the following is a plus: 

á       Working with machine learning, information retrieval, web search, NLP, knowledge bases and graph frameworks such as Pandas, scikit-learn, NumPy or SciPy

á       Working in a research team

á       Working in a fast-paced startup environment

----------------------------- What we offer ---------------------------

This is an 8-12 week summer internship position provided by UCL but working in cooperation with the Context Scout team. The position offers:

á       A monthly salary of £1768. 

á       Experience at the UK's leading computer science research department and at one of top ranked universities worldwide 

- The opportunity to gain work experience in a VC-funded, rapidly moving startup founded and developed by PhDs working on ground-breaking new technology (you can check out our amazing team and investors here https://contextscout.ai/team) 

- On-the-job mentorship and support and access to a growing library of books on tech, startups, BD etc.

- An extraordinary opportunity to have a hand in shaping the future of the web

-The candidate should have legal right to work in the UK over Summar. 

UCL and Context Scout is an Equal Opportunity-Affirmative Action Employer Ð Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation

----------------------------- Application ---------------------------

To apply, please send your CV to Mohammad Akbari at m.akbari@ucl.ac.uk.