Skip to main content

Manager, Applied Science CV/ML, Robotics AI

Job ID: 2184379 | Amazon.com Services LLC

DESCRIPTION

Job summary
Do you want to have a worldwide impact in Robotics? The Robotics AI team at Amazon builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop subject matter experts in robotics with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning.

We are seeking hands-on, Applied Science Manager to own the development of Perception and Task planning algorithms to advance robotics in our fulfillment network along with leading teams. You will be deep in algorithms and code. A successful candidate would be an experienced people manager with good leadership skills combined with excellent technical depth in Computer vision/ Deep Learning/ Perception systems/ Task planning, great communication skills, and a drive to achieve results in a collaborative team environment. In this role you will provide people management and also apply the latest trends in research to solve real-world problems. You will be an integral part of the core robotics team and work with others to implement robotics systems above and beyond the current state-of-the-art in the field.

You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.

Key job responsibilities
* As a manager, you will be responsible for delivering and maintaining critical robotic capabilities in the fulfillment network.
* You will drive your team to research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines
* You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
* You will keep your technical skills current to contribute to architecture and design discussions.
* You will regularly take part in deep-dive exercises and drive technical post-mortem discussions to identify the root cause of complex issues.
* Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.

BASIC QUALIFICATIONS

  • PhD (OR Master's Degree plus 10+ years of industry or academic research experience) in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics or a related quantitative field
  • 3+ years of experience building machine learning models or developing algorithms for business application.
  • 1+ years of experience programming in Java, C++, Python or related language and/or Machine Learning
  • 3+ years of experience directly managing scientists and/or machine learning engineers

  • 5+ years of relevant industry or academic research experience in developing algorithms for Computer Vision, Deep Learning, Perception systems or Task planning,
  • Ability to work on a diverse team or with a diverse range of coworkers.

PREFERRED QUALIFICATIONS

  • PhD and 7+ years of relevant industry or academic research experience.
  • Proven track record of directly managing science teams and scientists, hiring and developing science talent.
  • Demonstrated ability to lead research groups and setting research directions
  • Depth and breadth in state-of-the-art computer vision and machine learning technologies
  • Strong Computer Science fundamentals in data structures, problem-solving, algorithm design and complexity analysis.
  • Publications at top-tier peer-reviewed conferences or journals.
  • Excellent verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.



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.