Machine Learning Applied Science Intern
1 day ago
Winnipeg MB, Winnipeg Census Division, MB; Manitoba, Canada
Amazon
Full-time
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Apply machine learning, natural language processing, or computer vision as an Applied Science Intern with Amazon Science. Work full time in a team-based setting.
This internship suits PhD students developing scientific systems through experimentation and invention. You will implement solutions for massive datasets, tackle unsolved problems, and collaborate with Amazon scientists and science interns. The work includes end-to-end system development and production deployment.
Key Responsibilities
Design and develop end-to-end scientific systemsExperiment with machine learning and related techniquesImplement systems for massive datasetsCreate technical roadmaps for production projectsCollaborate with scientists and cross-functional teamsRequirements:
Enrollment in a relevant Canadian PhD programProgramming experience with Python, Java, C, or C++Availability for 40 hours weeklyCommitment to a maximum 12-week internshipAbility to relocate where the internship is basedBuild production-level systems through experimentation, programming, and scientific innovation with Amazon Science as an Applied Science Intern.
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This internship suits PhD students developing scientific systems through experimentation and invention. You will implement solutions for massive datasets, tackle unsolved problems, and collaborate with Amazon scientists and science interns. The work includes end-to-end system development and production deployment.
Key Responsibilities
Design and develop end-to-end scientific systemsExperiment with machine learning and related techniquesImplement systems for massive datasetsCreate technical roadmaps for production projectsCollaborate with scientists and cross-functional teamsRequirements:
Enrollment in a relevant Canadian PhD programProgramming experience with Python, Java, C, or C++Availability for 40 hours weeklyCommitment to a maximum 12-week internshipAbility to relocate where the internship is basedBuild production-level systems through experimentation, programming, and scientific innovation with Amazon Science as an Applied Science Intern.
#J-18808-Ljbffr