Amazon Applied Scientist Generative AI - Amazon Ads CreativeX 

United Kingdom, England, London 

736166336

You will:- Drive the invention and development of novel methods for the use of Generative AI in ads
- Work closely and integrate end-to-end proof-of-concept Machine Learning projects that have a high degree of ambiguity, scale and complexity.
- Build interface-oriented systems that use Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Present results and explain methods to senior leadership.
- Willingness to publish research at internal and external top scientific venues.
- Write and pursue IP submissions.
Key job responsibilities
This role is focused on developing Machine Learning and Generative AI methods to augment generative imagery and videos. You will develop new paradigms that will impact how users can engage and benefit from GenAI and that are at the core of advertising-facing tools that we are launching. You will also work on development of ML and GenAI models. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, who will partner with you to productize your work.A day in the life
On a day-to-day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership.
UK (London)

- Experience with researching, publishing and or developing human-in-the-loop systems
- PhD, or Master's degree and CS, CE, ML or related field experience,
- Experience with participant study design
- Programming experience in Java, C++, Python or related language.