Senior Applied Scientist

Job summary
The Fashion Innovation Tech team within Amazon Fashion is looking for Senior Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.

The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You will serve as a technical lead on the team and mentor scientists and engineers. You will also actively contribute to Amazon's Intellectual Property through patents and/or external publications.

Position Responsibilities: - Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications.

• Develop and/or apply Machine Learning models (e.g. Deep Neural Networks), optimization methods, and other ML techniques
• Build and deploy ML models on available data.
• Research and implement novel ML and statistical approaches to add value to the business.
• Lead and mentor scientists and engineers working on computer vision and deep learning.

Key job responsibilities

• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications.
• Develop and/or apply Machine Learning models (e.g. Deep Neural Networks), optimization methods, and other ML techniques
• Build and deploy ML models on available data.
• Research and implement novel ML and statistical approaches to add value to the business.
• Lead and mentor scientists and engineers working on computer vision and deep learning.

A day in the life
You will build and lead a diverse team of Applied Scientists to solve a variety of technical challenges. You will own the technology roadmap in an area that will drive future products and features that directly affect our growth in this critical space. You will partner with Product Managers, UX designers, and Engineering leaders on the development and execution of a technical roadmap that includes Machine Learning (ML), Computer Vision (CV), 3D visualization, and other emerging technologies. You'll interact regularly with senior leadership as you bring your vision to life.

About the team
The Fashion Innovation tech team at Amazon is working to redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning.

Basic Qualifications

• PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

An ideal candidate is a strong, creative and highly-motivated researcher with experience in one or more of the following areas:

• Developing and optimizing deep learning models to run on the edge and/or the cloud.
• Human body modeling and reconstruction techniques.
• Computer vision / deep learning problems in Augmented Reality.
• Multi-task networks and/or Generative Adversarial networks.
• Garment modeling and cloth simulation.
• Computational geometry, advanced graphics and rendering.
• Ability to effectively articulate technical challenges and solutions.
• Ability to distill problem definitions, models, and constraints from informal business requirements, and to deal with ambiguity and competing objectives
• Published research work in academic conferences or industry circles

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.