[Remote] Applied Science Manager, Sponsored Products and Brands -- Offsite
Note: The job is a remote job and is open to candidates in USA. Amazon is a leading technology company re-imagining the advertising landscape through generative AI technologies. The Applied Science Manager will lead a team of scientists and engineers to develop machine learning and AI solutions that enhance advertising outcomes 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
Skills
- 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
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
Company Overview
Company H1B Sponsorship