Applied Scientist II, Translation Services

Amazon; Asti; In loco; EUR 18.000 - 29.000; Tempo pieno

Descrizione del lavoro

Amazon Translations Services seeks an Applied Scientist II to design scalable ML solutions for translating billions of words across 130+ locales. Based in Hyderabad, you will work with engineers, data scientists, and product managers to deliver meaningful improvements with minimal human intervention.

The role emphasizes advanced modeling, data-driven improvements, and clear communication of complex ideas to diverse stakeholders, helping Amazon's global customers experience consistent

Competenze

• 3+ years of building models for business applications.
• PhD, or Master’s degree with 3+ years of CS/CE/ML or related field experience.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing.

Mansioni

• Apply your expertise in LLM models to design, develop, and implement scalable ML solutions for translation.
• Collaborate with software engineers, data scientists, and product managers to define requirements and metrics.
• Conduct data analysis to gain insights and improve translation quality and speed across marketplaces.
• Evaluate state-of-the-art modeling techniques to improve accuracy and efficiency of translation systems.
• Communicate complex concepts to technical and non-technical stakeholders with clear guidance.

Descrizione del lavoro

Applied Scientist II, Translation Services

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 technologies 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

• 3+ years of building models for business application experience
• PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.