📍
Hyderabad, India

Applied Scientist , Translation Services

No experience
Technology & Digital
Software engineering
Posted:
December 28, 2025

Amazon

Consumer goods marketplace and technology platform
76.7
Palpable Score
Apply >view company >

Description

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!

At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.

Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Hyderabad office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.



Key job responsibilities


* Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce space.
* Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
* Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
* Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation-related systems.
* Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.



About the team


We are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.

Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.
Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.

Basic Qualifications

- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals

About the company

Amazon

Company overview
Amazon runs a wide set of consumer and enterprise businesses, including online retail, Prime Video and other subscription services, advertising, devices, and Amazon Web Services (AWS). Amazon also builds large-scale software and infrastructure for logistics, payments, and cloud computing, and hires across engineering, product, operations, corporate functions, and frontline roles. Amazon’s early-career hiring spans both office-based teams and operational sites, which means “entry-level” can look very different depending on the org.

Locations and presence

Amazon has major corporate hubs in Seattle and Arlington (HQ2) plus large engineering and operations sites across North America, EMEA, and Asia-Pacific. For many corporate roles, Amazon’s stated expectation has shifted to five days per week in-office for office-based employees (with exceptions depending on role and site).

Palpable Score

76.7
/ 100
Amazon is one of the most accessible early-career employers at scale, with recurring internships and graduate hiring across many disciplines and geographies. Amazon also provides unusually clear public information about interview mechanics and publishes pay ranges on a large share of roles, which supports informed decision-making. The biggest drag on outcomes is the combination of high-performance culture signals and recent corporate job cuts, which adds risk for early-career stability depending on team and org.
view full company profile >

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