Amazon is seeking highly motivated and talented individuals to join as Applied Scientist Interns. This internship is ideal for candidates excited about developing cutting-edge solutions in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision (CV) using large-scale datasets. As an intern, you’ll be solving real-world challenges at scale—often for the first time in the industry.
You will work in a dynamic, fast-paced, and interdisciplinary team composed of world-class researchers and engineers. This role provides a unique opportunity to drive innovations, design novel algorithms, and influence real-world products that impact millions of customers.
Technical Skills Required: C, C++, Python, Java, Perl, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science
Amazon celebrates diversity and is committed to creating an inclusive environment for all employees. If you require any accommodation during the application, interview, or onboarding process, please visit Amazon Accommodations.
Amazon is an equal opportunity employer.
Amazon is a global technology and e-commerce leader headquartered in Seattle, Washington. Founded by Jeff Bezos in 1994, Amazon's mission is "to be Earth's most customer-centric company," striving to offer customers the lowest possible prices, the best available selection, and the utmost convenience. The company operates the world's largest online marketplace, Amazon.com, and has diversified into cloud computing (Amazon Web Services), digital streaming, artificial intelligence, and consumer electronics, including devices like Kindle, Echo, and Fire TV.
With over 1.5 million employees worldwide as of 2024, Amazon is one of the largest employers globally and consistently ranks among the most valuable brands. The company is renowned for its logistical prowess, rapid delivery services (such as Prime), and innovation in areas like cashierless retail (Amazon Go) and cloud infrastructure. Recently, Amazon has made headlines for its continued expansion into healthcare, generative AI, and sustainability initiatives, including a commitment to reach net-zero carbon by 2040.
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