Amazon

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Applied Scientist

Applied Scientist

Referenznummer 
368176
Standort 
DE-Berlin
Datum 
29.12.2015
Company 
Amazon Development Center Germany GmbH
Recruiting Team 
..

Stellenbeschreibung:

Job Description

We are a newly established innovative Development Center in Berlin which focuses on computer vision, machine learning and operations research in diverse application fields at Amazon. If you get excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems, by owning business problems/metrics and if you want to come to one of the most exciting places of the world, then we have the perfect role for you. We have an open computer vision internship positions and this is what we are looking for:

Major responsibilities:
- Research, design, implement and evaluate novel computer vision algorithms
- Work on large-scale datasets, focusing on creating scalable and accurate computer vision systems in versatile application fields
- Collaborate closely with research team members on developing systems from prototyping to production level
- Collaborate with teams spread all over the world
- Track general business activity and provide clear, compelling management reports on a regular basis

Notwendige Qualifikationen

Required Qualifications:
- Currently enrolled as computer vision PhD student
- Knowledge of fundamentals in computer vision and machine learning
- Strong coding skills in two or more programming languages such as C/C++, Python, Matlab
- Strong verbal and written communication skills
- Excellent problem solving ability

Wünschenswerte Qualifikationen

If you thrive in a challenging and fast-paced environment, you’ll meet your match with us, as you will be part of a vibe of constant improvement. We don’t like to sit still, which is why we always treat every day like the first day. A day to make more good things happen for our customers. It’s that kind of spirit that drives our success now and keeps us ahead of the competition in the future. And you could be part of it. It’s as simple as this: Work Hard. Have Fun. Make History.
Sounds interesting?