Applied Scientist II (AI)

TL;DR

Applied Scientist II (AI): Designing and implementing scalable machine learning solutions for language translation in the eCommerce space with an accent on LLM models, data analysis, and algorithm development. Focus on solving complex language translation challenges and integrating Gen AI technologies to enhance customer and stakeholder experiences worldwide.

Location: Onsite in Hyderabad, India

Company

Amazon is Earth's most customer-centric company, striving to provide a consistent customer experience across hundreds of countries and languages.

What you will do

• Apply expertise in LLM models to design and implement scalable machine learning solutions for language translation in the eCommerce space.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements and deliver high-quality solutions.
• Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations for seller performance and customer experiences.
• Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation systems.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Requirements

• 3+ years of experience building models for business applications.
• 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.
• 2+ years of deep learning, computer vision, human robotic interaction, or algorithms implementation experience.

Nice to have

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

Culture & Benefits

• Work in a startup-mindset team with opportunities to innovate by leveraging Gen AI technologies.
• Opportunity to make a meaningful impact on the experience of millions of customers and stakeholders worldwide.
• Access to vast amounts of data, technology, and a diverse community of talented individuals.
• Inclusive culture that empowers Amazonians to deliver the best results.
• Workplace accommodation or adjustment support is available for disabilities during the application and hiring process.