Machine Learning Science Manager, Multimodal Video Understanding, Prime Video

Seattle, Washington, USA

Full Time Senior-level / Expert logo

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Job summary
How often have you had an opportunity to be a founding manager of a team solving significant customer problems through innovative AI technology at Amazon scale? We are looking for passionate, hard-working, and talented managers to join our fast paced, start-up environment to help invent the future and define the next generation of how customers watch videos. We are disrupting a 100-years old industry through cloud services (AWS), 2D/3D computer vision, NLP, audio and speech processing and ASR, scalable visual effects (VFX), and multimodal search and classification.

Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions including HBO and Showtime, and live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals.

We are building a new team to automatically "understand not just tag" the video content on a scene and a frame level by understanding the setting, objects, actions, and themes depicted in a scene. We are driving visual effects automation and exceptional customer experience using machine learning, 2D/3D computer vision, audio and speech processing, and natural language understanding. Automation of video understanding at scale is our mission and passion. We need to solve problems across many cultures and languages. We have a huge amount of human-labelled data, and operation team to generate labels across many languages. Our team innovates, with many novel patents, inventions, and internal/external papers in the motion picture and television industry. We are highly motivated to extend the state of the art.

What you will do here
As an Applied Science manager, you will play a pivotal role in building the technology enabling these innovations. You will be responsible for hiring and managing a team that builds models, prototypes, simulations, and state-of-the-art optimization algorithms that can scale across several product lines.
This is a greenfield with no "off-the-shelf algorithms" that can perform the job. We experiment a lot and it is a must to learn and be curios. We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.
You will advise and closely collaborate with product and engineering teams to develop innovative products that disrupt established industries. In this role, you will also work closely with the renowned machine learning and optimization community at Amazon.

We are looking for a proven ability to execute both strategically and tactically, and someone who is excited to take on new, ambiguous projects that will be industry defining. As an Applied Science Manager, your specific responsibilities will include:
· Apply business judgement to identify and prioritize opportunities and develop science strategies
· Advise and collaborate with product and engineering teams to design and implement software solutions for machine learning and optimization problems
· Lead a team of talented individuals (PhD or MS in Statistics or Machine Learning or related)
· Influence, collaborate, and communicate effectively with other engineering, science, and business leaders
· Communicate scientific solution and insights effectively to a non-scientific audience
· Help hire, build, and mentor a growing science community in the video understanding space

Inclusive Team Culture

We are committed to furthering our culture of inclusion. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Basic Qualifications

  • PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field.
  • Proven track record of successfully applying ML-based and optimization solutions to complex problems in business, science, or engineering.
  • 4+ years of practical experience applying machine learning to solve complex problems in an applied environment
  • Excellent written and verbal communication skills with teams, technical teams, and leadership
  • Proven track record in technically leading and mentoring scientists
  • Ability to clearly communicate high level strategy and technical details effectively across disciplines, locations, and organizations, including to senior leadership
  • Depth and breadth in state-of-the-art machine learning technologies
  • 3+ industry experience in Deep learning in computer vision, speech processing/synthesis, or natural language processing\understanding

Preferred Qualifications

  • 10+ years of relevant experience in industry and/or academia.
  • Publications at top-tier peer-reviewed conferences or journals in one of those areas ( computer vision, image processing, or natural language processing\understanding, deep learning)
  • Proven track record of innovation in creating novel algorithms and advancing the state of the art

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

Job region: North America
Job country: United States
Job stats:  3  1  0
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