Applied Science Manager, AWS Startups

What you'll do

• Manage, coach, hire, and develop applied scientists, business intelligence engineers, and business analysts.
• Own the science roadmap and technical direction for machine-learning models and data assets; scope experiments and productionize models.
• Lead science for recommendations, startup segmentation and targeting, and fraud detection, partnering across teams to deliver scalable products.

What they ask for

• 2+ years of scientists or machine learning engineers management experience.
• Master's degree in a stated quantitative field or equivalent quantitative field.
• Master's degree, or PhD and 4+ years of building machine learning models or developing algorithms for business application experience.
• Experience with any programming language such as Python, Java, C++; knowledge of machine learning approaches and algorithms.

Nice to have

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, successfully delivered to customers.
• Experience training and deploying machine-learning systems for large-scale personalization, recommendation, or ranking systems.

Pay

183,800.00 - 248,700.00 USD annually (base salary)

Tools

Python, Java, C++

AI focus

Builds machine-learning capabilities, including recommendation systems, startup segmentation and targeting, and fraud detection; the team is building AI-native products.