Senior Applied Science Manager, ML Solutions Lab

Job summary
Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The Amazon ML Solutions Lab helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organizations. As a Senior Applied Science manager for the ML Solutions Lab team in APJ, you will lead a team of customer-facing scientists and architects to design and deliver advanced ML solutions to solve diverse real-world problems for customers across all industries. You will interact with customers, translate their business problems into ML problems, and lead your team in applying classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization and event detection.

As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that’s higher than most projects and love the idea of solving problems that have never been solved before. You will provide thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges.

The primary responsibilities of this role are to:

• Hire, develop, and lead a diverse, talented team of scientists and architects
• Interact with customers directly to understand the business problem and guide them in their adoption of AI/ML on AWS
• Work closely with cross-functional account, marketing, and product engineering teams to deliver custom ML solutions
• Drive new business and product initiatives, championing ideas that move our business forward

This position requires travel of up to 30%.

Basic Qualifications

• PhD degree in computer science, engineering, or related technical/scientific field
• 10+ years of professional experience in a business environment
• 5+ years of experience managing a team of scientists
• Experience in building and delivering machine learning solutions
• Excellent written and spoken communication skills

Preferred Qualifications

• Scientific thinking and a track record of thought leadership and contributions that have advanced the field
• Peer reviewed publications
• Comfortable working in a fast paced, highly collaborative, dynamic work environment
• Business understanding of machine learning as a fundamentally disruptive technical and business strategy