Job Offer:
2023 Applied Science Internship - Machine Learning, Deep Learning, NLP, NLU, Machine Translation - Job ID: 2222314 | Amazon.jobs

Job summary:
Amazon is offering a 2023 Internship in the field of Applied Sciences for MS or PhD students interested in Machine Learning, Deep Learning, NLP, NLU, and Machine Translation. The internship is available in various locations, including Austria, France, Germany, Ireland, Luxembourg, Italy, Spain, Poland, and Israel. The company is looking for motivated students with research interests in a variety of domain expertise in applied sciences to build state-of-the-art solutions for never before solved problems. The internship can last between 3 - 6 months for Full Time and 6 - 12 months for Part Time.

Basic qualifications:
Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields. Experience in any programming language such as Python, Java, C++, or similar scripting and programming languages.

Preferred qualifications:
Publications at top-tier peer-reviewed conferences or journals. Experience in design of experiments and statistical analysis. Experience implementing algorithms using toolkits and self-developed code. Experience in solving business problems through machine learning, data mining and statistical algorithms. Familiar with the core undergraduate curriculum of computer science. Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members. Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Key job responsibilities:
Work closely with scientists and engineering teams (position-dependent). Work on an interdisciplinary team on customer-obsessed research. Design new algorithms, models, or other technical solutions. Experience Amazon's customer-focused culture.

Benefits:
Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern: Competitive pay, impactful project and internship/role deliverables, hybrid working (team dependent), networking opportunities with fellow interns, internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions, mentorship and career development.

Note:
This is not a remote internship opportunity. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT).

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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Amazon 


Amazon está ofreciendo una pasantía de 2023 en el campo de las Ciencias Aplicadas para estudiantes de maestría o doctorado interesados en Machine Learning, Deep Learning, NLP, NLU y Machine Translation. El puesto está disponible en varias ubicaciones, incluyendo Austria, Francia, Alemania, Irlanda, Luxemburgo, Italia, España, Polonia e Israel. El puesto requiere trabajar de cerca con equipos de científicos y de ingeniería para construir soluciones de vanguardia para problemas nunca antes resueltos. Los beneficios incluyen un salario competitivo, entregables de proyectos y pasantías impactantes, oportunidades de networking con otros pasantes, eventos de pasantías como series de oradores, paneles de pasantes, sesiones de Principios de Liderazgo, sesiones de habilidades de escritura de Amazon, mentoría y desarrollo profesional.

2023 Applied Science Internship - Machine Learning, Deep Learning, NLP, NLU, Machine Translation - Job ID: 2222314 | Amazon.jobs

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