Key skills
Machine LearningGenerative AINatural Language ProcessingInformation RetrievalData AnalyticsJavaC++PythonDeep LearningComputer VisionBig DataAWSHadoopSparkPigHiveApplied ResearchPeople ManagementCAIMLNLPGenAIAnalyticsCommunicationCollaboration
About this role
Amazon is re-imagining the advertising landscape through industry-leading generative AI technologies. The Applied Science Manager will lead teams of Applied Scientists and Machine Learning Engineers to develop ML and GenAI solutions, track advertiser performance, and shape product direction.
Responsibilities:
- Lead Applied Scientists, Machine Learning Engineers, and Software Development Engineers
- Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit
- Develop science and engineering roadmaps to increase advertiser outcomes with ML and GenAI solutions, run annual planning, and foster cross-team collaboration on model development
- Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization
- Stay informed about recent scientific publications, industry trends, and system designs
- Work with off-Amazon publishers to launch new high-impact placements that increase advertiser outcomes
- Develop and own mechanisms to track and improve advertiser performance
- Distill complex ideas complex thoughts, succinctly, adapting to the medium of communication
Requirements:
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data, machine learning and predictive modeling
- Experience in people management
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc