
About Amazon
The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
🎁 Benefits
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
🌟 Culture
Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...
Skills & Technologies
Overview
Amazon is hiring an Applied Science Manager for their Translation Services team in Hyderabad. You'll lead a team to design algorithmic solutions for translating billions of words annually, utilizing machine learning and NLP techniques. This role requires strong technical skills and experience in optimizing large-scale production systems.
Job Description
Who you are
You have a strong background in machine learning and natural language processing, with a deep understanding of algorithmic solutions for language translation. Your experience includes optimizing and maintaining large-scale production systems, ensuring high-quality outputs with minimal human intervention. You are a proven leader, capable of guiding a team through complex challenges while fostering a collaborative environment.
You possess excellent problem-solving skills and a data-driven mindset, allowing you to leverage vast amounts of data to enhance translation accuracy and efficiency. Your technical expertise is complemented by your ability to communicate complex concepts clearly to both technical and non-technical stakeholders. You thrive in a fast-paced environment and are eager to make a meaningful impact on customer experience across diverse locales.
Desirable
Experience with large language models and advanced NLP techniques is a plus, as is familiarity with the latest trends in machine learning. You are comfortable diving deep into technical details and are always looking for ways to innovate and improve processes.
What you'll do
As the Applied Science Manager, you will lead the Science team within Amazon Translation Services, overseeing the design and implementation of algorithmic solutions for translating billions of words across multiple languages. You will be responsible for the entire software lifecycle, from design and experimentation to implementation and testing. Your role will involve collaborating closely with cross-functional teams to ensure that the solutions you develop meet the needs of our global customer base.
You will drive the optimization of existing systems and explore new methodologies to enhance translation accuracy and efficiency. Your leadership will be crucial in guiding your team through the complexities of language translation challenges, ensuring that the solutions are scalable and maintainable. You will also be expected to mentor team members, fostering their professional growth and encouraging innovative thinking.
What we offer
At Amazon, you will have access to cutting-edge technology and a diverse community of talented individuals. We are committed to creating an inclusive environment where everyone can thrive. You will have the opportunity to make a significant impact on how customers engage with our platform worldwide. We offer competitive compensation and benefits, along with opportunities for career advancement within a global organization.
Join us in transforming the way language translation is approached and help us deliver a consistent customer experience across hundreds of countries and languages. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need.
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