Senior Machine Learning Engineer for AI-Powered Shopping Experience
hace 1 semana
The Community Feedback organization at Amazon is responsible for harnessing customer-generated features and insights to empower informed shopping decisions.
We are seeking a Senior Applied Scientist with expertise in AI, Gen AI, Machine Learning, and NLP to develop Large Language Model (LLM) solutions for Community Feedback.
This role involves collaborating with talented scientists and engineers to innovate on behalf of customers and make a lasting impact on the future of AI-powered shopping.
As a Senior Applied Scientist, you will work on cutting-edge technologies, implement algorithms, and see their performance in real-world applications. Key responsibilities include:
- Developing machine learning models for business applications with 3+ years of experience.
- PhD or Master's degree and 5+ years of applied research experience.
- Proficiency in programming languages such as Java, C++, Python, or related languages.
- Familiarity with neural deep learning methods and machine learning principles.
Preferred qualifications include a PhD and 7+ years of post-PhD academic or industry applied research experience in building and deploying models for business applications, experience with professional software development, and publications at top-tier peer-reviewed conferences or journals.
Amazon offers an estimated salary range of $160,000 - $200,000 per year, depending on location and experience. As an equal opportunities employer, we value your passion for discovery, innovation, and customer satisfaction.
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Barcelona, Barcelona, España Engineeringuk A tiempo completoAbout the RoleWe are seeking a highly skilled and experienced Senior Applied Scientist to join our Community Data & Science team at Engineeringuk. This is an exciting opportunity to work on state-of-the-art technologies that will shape the future of AI-powered shopping experiences.Key Responsibilities:- Develop and implement cutting-edge machine learning...
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