Senior Applied Science Manager, Ring

Key Skills

Algorithms, Computer Vision (CV), Deep Learning, Design, JavaScript, Large scale data processing, Machine learning techniques, Mathematics, Natural Language Processing (NLP), Python Programming, Reinforcement Learning, SQL

Job Description

You will be responsible for building a team of scientists and developers who are experienced in taking an idea to reality – from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building.

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.

Key job responsibilities

• You will be responsible for leading a team of scientists and developers who are experienced in taking an idea to reality.
• Hire and grow world-leading engineers, scientists and product experts to invent at Amazon scale
• Provide leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges.
• Collaborate with cross-functional teams.

BASIC QUALIFICATIONS

• Higher university degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• 10+ years industry experience building successful production software systems.
• 7+ years of applied research experience.
• Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) and related applications.
• Proven ability to implement, operate, and deliver results via innovation at large scale.
• Experience communicating with executives and non-technical leaders.
• Strong Computer Science fundamentals in data structures, algorithm design, statistics and system design.

PREFERRED QUALIFICATIONS

• Ph.D. in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a closely related field.
• Demonstrated leadership abilities, especially with cross-disciplinary efforts.
• Project management experience.