Applied Science Manager, Amazon Robotics

23 hours ago

Seattle WA United States Amazon Full time
Applied Science Manager, Amazon Robotics

Job ID: 2846931 | Amazon.com Services LLC

Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale Computer Vision VML systems for robotics in fulfillment centers. 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 CVML experts in robotics with a focus on camera calibrations, 3D geometry, pose estimation, deep learning, intelligent control, semi-supervised and unsupervised learning. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.

We are seeking an experienced Computer Vision ML Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced vision, machine learning and optimization algorithms. You will drive CVML innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. 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 computer vision to significantly impact the lives of millions of consumers.

Key job responsibilities
  1. As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at Amazon Robotics.
  2. 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.
  3. You will keep your technical skills current to contribute to architecture and design discussions.
  4. You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.
  5. 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.
A day in the life
  1. 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 people and performance management tasks.
  2. Set a vision for the team and create the technical roadmap that delivers results for customers while thinking big for future applications.
  3. Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems.
  4. Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts.
  5. Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.
BASIC QUALIFICATIONS
  • PhD, or Master's degree and 4+ years of industry or academic research experience
  • 6+ years of applied research experience
  • 3+ years of scientists or machine learning engineers management experience
  • Experience building machine learning models or developing algorithms for business application
  • Experience programming in Java, C++, Python or related language
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Strong understanding of computer vision and machine learning (3D Geometry, camera calibration, classical and deep neural networks)
PREFERRED QUALIFICATIONS
  • Experience hiring and growing top talent
  • Familiarity with Camera calibration techniques, 3D Geometry, 3D detection (segmentation, classification, performance KPIs (mAP, ROC, Recall-at-set-precision etc)).
  • Experience in the developments in the field of ML e.g. segmentation, scene understanding, localization

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.

Posted: October 3, 2024 (Updated 1 day ago)

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