[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-259638-105":3,"detail-sidebar-cat-1-en-105":81,"doc-detail-259638-en":126},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","mitacs-research-intern-machine-learning-and-data-analytics-internship-job-description","Mitacs Research Intern - Machine Learning and Data Analytics - Internship Job Description","","This internship role hires Mitacs interns for machine learning and data analytics work at Qi-Leap, a tech startup focused on innovative software and hardware solutions. The intern collaborates with researchers (PhD and Postdoctoral Fellows) to devise and test algorithms using real retail data, supported by partnerships with retail stores in Vancouver and other Canadian and international cities. The position requires an M.Sc./PhD in a technical field, strong analytical problem-solving and communication, programming fluency (e.g., Python, C++, Java, Matlab), and familiarity with machine learning. 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We are looking for highly motivated individuals with strong background in analytical research and familiarity with machine learning algorithms and methodologies, who enjoy the challenges and benefits of working at a cutting edge tech startup. Past exposure and involvement with projects with big data sets and devising and implementing machine learning algorithms is preferred. The intern will work together with a team consisting of other researchers (PhD and Postdoctoral Fellows) to devise and test algorithms based on real-life retail data. The devised algorithms will be tested in real world through the partnership we have with retail stores in Vancouver and a few other cities in Canada and abroad.  \nCompany Description:  \nQi-Leap has been founded with a mission to improve the quality of life by designing innovative software and hardware solutions. Our lead-team consists of MIT and UBCtrained researchers with expertise in data science, interactive design and innovation management. We work together with software developers and engineers to transform our solution into impactful real-life solutions and products.  \nRequired Qualifications:  \nM.Sc./PhD in a technical field (computer science, math, physics, engineering)  \nFluency in at least one of the programming languages- +2 years of experience (python, c ++, java, Matlab)  \nStrong communication skills and team-work experience Proven problem solver with solid analytical skills Familiarity with machine learning  \nDemonstrated flexibility in adapting to a wide variety of tasks and functions  \nPreferred Qualifications:  \nExperience in implementing Recommender Systems Background in Behavioural Data Analytics Fluency in Python  \nFamiliarity with Deep learning algorithms  \nStart date: As early as May 15, 2016  \nPlease send applications to: [careers@qileap.com](careers@qileap.com)","cbCaiho58acP7jZ6","https://ap.wps.com/l/cbCaiho58acP7jZ6","pdf",290109,"English","# Job Description\n## Company Background\n## Required Qualifications\n## Preferred Qualifications\n## Application Details","[{\"question\":\"What will the intern do in this role?\",\"answer\":\"Develop and test machine learning algorithms based on real retail data in collaboration with a research team.\"},{\"question\":\"What qualifications are required to apply?\",\"answer\":\"An M.Sc./PhD in a technical field, strong analytical and communication skills, experience with at least one programming language (e.g., Python/C++/Java/Matlab), and familiarity with machine learning.\"},{\"question\":\"What start date and application method are provided?\",\"answer\":\"The start date can be as early as May 15, 2016, and applications should be sent to careers@qileap.com.\"}]","Mitacs Research Intern - Machine Learning and Data Analytics - Internship Job Description | PDF",1789334755]