Applied Scientist II, Amazon Business Buying Journeys

Amazon Jobs; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading global e-commerce company in Madrid seeks an Applied Scientist to innovate in machine learning and improve the online shopping experience. You will collaborate with a team to develop tailored algorithms and optimize product discoverability for enterprise customers. Ideal candidates hold a PhD or Master's in relevant fields and possess robust programming and deep learning skills. This role promises impactful contributions within a diverse team, emphasizing growth and learning opportunities.

Formación

• PhD or a Master's degree and experience in CS, CE, ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience in state-of-the-art deep learning models architecture design.

Responsabilidades

• Apply state-of-the-art ML algorithms to improve customer shopping experience.
• Work with a dynamic team providing opportunities for growth.
• Participate in driving features from idea to deployment.

Conocimientos

Machine Learning (ML)

Deep Learning

Programming in Java, C++, Python

Natural Language Processing

Educación

PhD or Master's in CS, CE, ML or related field

Descripción del empleo

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of sizes and industries. Unlock your career potential.

Amazon Business’s Onsite Buying Experience (OBX) sub-charters include several core products with a vision to create best-in-class procurement experience, for organizations of all sizes, where any requisitioner in the world can buy any of their business relevant and compliant items effortlessly and efficiently in 60 seconds or less. The applied scientist in the OBX team will act as a horizontal supporting all science initiatives in fulfilling the above mission.

We are seeking a talented applied researcher to join the Buyx team in AB. The OBX-science team is responsible for improving the quality of search results shown to enterprise customers. Enterprise customer needs are disparate from the needs of the Retail customers. Amazon Business has a goal to generate a revenue of $100 B in the next 5 years and improving the discoverability of products and providing what the customers need is critical to achieving this mission. Search in itself is going through a transformation with the advent of LLMs and other such innovations. We believe that shopping on Amazon should be simple, delightful, and stress free for enterprise customers.

As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon Business's shopping experience. You will improve ranking and optimization in our algorithm through building customized features that are suited for AB customers. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.

A day in the life

• Apply state-of-the-­art Machine Learning (ML) algorithms, including Deep Learning to improve hundreds of millions of customers’ shopping experience.
• Have measurable business impact using A/B testing.
• Work in a dynamic team that provides continuous opportunities for learning and growth.
• Work with leaders in the field of machine learning.

Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for application
• Experience programming in Java, C++, Python or related language
• Experience in state-of-the-­art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
• Experience in finetuning LLMs, Knowledge Distillation techniques for inference optimization.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacy_page to know more about how we collect, use and transfer the personal data of our candidates.

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.