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Applied Scientist, Contextual Ads

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Amazon

12d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • London

AI generated summary

  • You must have a PhD or Master's in CS/CE/ML, programming skills, experience in ML models, Unix/Linux, and a background in AI, algorithms, and software development with publications or patents.
  • You will design and test hypotheses, collaborate with engineering teams, promote experimentation, manage projects, and enhance team culture while communicating across various levels of the organization.

Requirements

  • PhD, or a Master's degree and experience in CS, CE, ML or related field
  • 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
  • Experience in building machine learning models for business application
  • Experience using Unix/Linux
  • Experience in professional software development
  • Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development.

Responsibilities

  • Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment.
  • Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
  • Promote the culture of experimentation and applied science at Amazon.
  • Demonstrated ability to meet deadlines while managing multiple projects.
  • Excellent communication and presentation skills working with multiple peer groups and different levels of management.
  • Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles.

FAQs

What is the main focus of this Applied Scientist role?

The main focus of this role is to work on machine learning and data science initiatives for contextual data processing and classification, specifically to power Amazon's contextual advertising solutions.

What qualifications are required for this position?

Applicants should have a PhD or a Master's degree in Computer Science, Computer Engineering, Machine Learning, or a related field, along with experience in relevant programming languages and building machine learning models for business applications.

What programming languages should I be proficient in for this job?

Proficiency in Java, C++, Python, or similar programming languages is required for this position.

Are there any preferred qualifications for candidates?

Yes, preferred qualifications include experience using Unix/Linux, professional software development experience, and knowledge in Artificial General Intelligence, generative deep learning models, specifically LLM development.

What kind of work environment can I expect?

You can expect a high-ambiguity environment where you'll be required to design, prototype, and test various hypotheses, collaborating with software engineering teams to integrate successful experiments into Amazon's complex production systems.

Is experience in research and publications necessary?

Yes, experience in patents or publications at top-tier peer-reviewed conferences or journals is part of the basic qualifications for this role.

How does Amazon support diversity in the workplace?

Amazon is committed to employing a diverse workforce and makes recruiting decisions based on experience and skills, valuing passion and the ability to discover, invent, simplify, and build.

Will I have the opportunity to collaborate with cross-functional teams?

Yes, in this role, you will have the opportunity to collaborate with multiple cross-functional teams.

Are there opportunities for career growth in this role?

Yes, this position allows for growth and the chance to act as a thought leader in a new initiative focusing on contextual advertising solutions.

How does Amazon ensure the security of candidate data during the hiring process?

Amazon prioritizes the privacy and security of candidate data and adheres to a Privacy Notice outlining how personal data is collected, used, and transferred.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.