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Applied Scientist Summer Internship - Robotics
Seattle, WA
Job Description
| Applied Scientist Summer Internship - Robotics | |
| Location: | US-WA-Seattle |
| Job ID: | 777224 |
| Company: : | Amazon.com Services, Inc. |
| Position Category: | Machine Learning Science |
| Company/Location (search) : Country (Full Name): : | United States |
Are you a MS or PhD student interested in the fields of Computer Vision, Machine Learning and Deep Learning and capable of diving deep into hard technical problems and coming up with insightful solutions that enable successful products? Are you unafraid of taking on a mind-bending challenge that really will improve peoples' lives in a meaningful way? Would you love to get access to large datasets with billions of images and video to build large-scale machine learning systems? Are you a finisher who can deliver robust, production-quality code that solves complex, real-world problems in ways that delight customers?
If this describes you, come join the Computer Vision teams at Amazon. Our teams are using computer vision, image recognition, machine learning, real-time and distributed systems to convert requirements into concrete deliverables. A Computer Vision Scientist at Amazon will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven't been solved to scale before are essential.
If this describes you, come join the Computer Vision teams at Amazon. Our teams are using computer vision, image recognition, machine learning, real-time and distributed systems to convert requirements into concrete deliverables. A Computer Vision Scientist at Amazon will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven't been solved to scale before are essential.
In the process of obtaining a Masters or Ph.D. degree (Ph.D strongly preferred) in Engineering, Computer Science, Machine Learning, Statistics or related fields
* Theory and practice of designing experiments and statistical analysis of results.
* An understanding of machine learning, algorithms and computational complexity.
* Experience in understanding and ability to implement algorithms in computer vision using both toolkits and self-developed code.
* Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
* Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms.
* Strong aspiration to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.
* Theory and practice of designing experiments and statistical analysis of results.
* An understanding of machine learning, algorithms and computational complexity.
* Experience in understanding and ability to implement algorithms in computer vision using both toolkits and self-developed code.
* Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
* Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms.
* Strong aspiration to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.
- Familiar with the core undergraduate curriculum of Computer Science.
- Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects)
- Algorithm development experience
- Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
- Publications at top-tier peer-reviewed conferences or journals
- Familiar with the techniques and limitations of observational studies.
- Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
- Skilled at data visualization and presentation.
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
- Energy and willingness to formulate, test, and discard or revise many hypotheses to help Amazon improve its product catalog.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Work Hours (i.e. shift)
777224
Required Education
Doctorate
Required Experience
Open
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