TL;DR

Applied Science Manager (AI, ML): Leading a cross-functional team to develop and optimize ML and Gen AI solutions for Amazon Ads, revolutionizing product discovery and brand engagement. Focus on driving science and engineering roadmaps, model development, and integration into advertising applications.

Location: United States

Salary: $165,500 – $286,000/year

Company

%hirify_global% is re-imagining the advertising landscape through generative AI technologies for Sponsored Products and Brands.

What you will do

Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
Develop science and engineering roadmaps for Sponsored Products and Brands Search Relevance with ML and Gen AI solutions.
Foster cross-team collaboration on model development and integration to advertising applications.
Hire and develop top talent, providing technical and career development guidance.
Stay informed about recent scientific publications, industrial research trends, and system designs pertinent to the advertising business.

Requirements

4+ years of applied research experience.
3+ years of management experience for scientists or machine learning engineers.
3+ years of building machine learning models for business applications.
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.

Nice to have

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, successfully delivered to customers.
PhD, or a Master's degree and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF.

Culture & Benefits

Inclusive culture empowering Amazonians to deliver the best results for customers.
Comprehensive total compensation package including equity and sign-on payments.
Full range of medical, financial, and other benefits.
Workplace accommodations or adjustments for disabilities.
Energized by solving complex challenges and pushing the boundaries of what is possible with AI.