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Description

How can Amazon improve the advertising experience for customers around the world? How can we help advertisers and customers find each other in a meaningful way? Amazon Advertising creates and transforms the connection between retailers/service providers and customers. Our teams strive to reinvent the way advertisers and agencies build brands and drive performance in their advertising. By using Amazon's foundation in e-commerce, we help brands connect with the right customers through creative solutions and formats across screens and devices, and in the physical world.

Amazon Advertising seeks an Applied Scientist with strong Machine Learning engineering skills to join the ADSP engineering team split across Edinburgh and London. We make Guidance products that help optimise our customer's advertising campaign workflows and performance. As a scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. The systems that you help to build will operate at massive scale to advertising customers around the world.

Our ideal candidate is an experienced ML scientist who has a track-record of performing analysis, applying statistical techniques and building robust ML models to solve real business problems, who has great leadership and communication skills, and who is motivated to achieve results in a fast-paced environment.

Key job responsibilities

Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Collaborate with software engineering teams to integrate successful experimental results into large-scale, highly complex Amazon production systems.

Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment.

Promote the culture of experimentation and applied science at Amazon.

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field research

• 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

• Proficiency with one or multiple Machine Learning libraries (e.g. PyTorch, JAX, TensorFlow, Scikit-learn, XGBoost).

Preferred Qualifications

• Experience using Unix/Linux

• Experience in professional software development

• Solid background in data manipulation (e.g. Polars, Pandas, DuckDB) and data visualization libraries

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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.