Job Description
Job summary
Do you want to join Amazon Studios AI team – the team that is at the forefront of inventing new visual media technologies within the entertainment and streaming industries to provide incredible experiences to audiences around the world? Do you want to invent and leverage cutting-edge deep-learning and machine-learning algorithms to build innovative solutions most people cannot even yet imagine?
If your answers to these questions are ''yes'', then come and join us at Amazon Studios AI. We are leveraging the latest breakthroughs in artificial intelligence to create a new way of watching streaming video content. We expect our solutions to disrupt the media and entertainment industry and delight audiences around the world. We are looking for talented and ambitious teammates who will Think Big with us. If you have a passion for groundbreaking technology, please join us and be part of this exciting, newly funded and fast-growing project.
On our team, you will partner with top AI scientists, software engineers, product managers, and others. You will be joining on the ground floor and will grow with our team all the way through to our expected launch. You will be expected to:
• Build state-of-the art computer vision solutions using approaches such as CNN, LSTM, GAN, etc.
• Build 2D/3D face/body models in time series domain.
• Research, invent and implement novel deep learning architectures/algorithms as part of building a disruptive product.
• Work in a collaborative environment with other scientists, engineers, product managers and others.
• Mentor and develop junior scientists in the team.
Key job responsibilities
PhD, CNN, LSTM, GAN, Computer Vision, Machine Learning.
BASIC QUALIFICATIONS
• Experience programming in Java, C++, Python or related language
• Experience of building machine learning models for business application
• PhD or equivalent Master's Degree plus experience in CS, CE, ML or related field
PREFERRED QUALIFICATIONS
• Proficiency in Python and C++.
• Hands-on experience working in computer vision and machine learning using models and methods such as CNN, LSTM, GAN, etc.
• Proficiency in using Computer Vision and Deep Learning toolkits.
• Experience in 2D/3D domains (time series, object tracking etc.)
• Proven ability to design, implement and operate large projects at scale.
• Motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, operations personnel and business management in achieving superior results.
• Strong ability in problem solving and driving for results.
• Experience with related AWS services and large datasets.
• Experience in designing and implementing new methods in new application areas.
• Strong personal interest in learning, researching, and creating new technologies with high customer impact.
• Experience defining organizational research and development practices in an industry setting.
• Proven track record mentoring and growing teams of scientists.
• Strong communication and data presentation skills.
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Jobcode: Reference SBJ-d297y2-35-170-66-78-42 in your application.