Description

　　Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.

　　We hire and develop subject matter experts in AI with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.

　　We are seeking an experienced and hands-on Senior Applied Scientist to join our Perception team and who will be deep in code and algorithms; with proven track record in sensor selection, sensor calibration, scalable ML frameworks for online/offline learning, state-estimation, prediction systems, and continuous model optimization. As a Senior Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will collaboratively drive ideas to products using tools such as deep learning, active learning, and computer vision (camera selection, camera calibration, instance and semantic segmentation, pose estimation, activity understanding).

　　As a Senior Applied Scientist, you will also help guide, support, and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.

　　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

　　• Research, design, implement and evaluate complex computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning algorithms integrating across multiple disciplines.

　　• Create experiments and prototype implementations of perception, computer vision, sensor algorithms, planners, and optimization techniques.

　　• Work closely with software engineering team members to drive scalable, real-time implementations.

　　• Collaborate with machine learning, perception and software experts to implement and deploy algorithms.

　　• Collaborate closely with hardware engineering team members on developing systems from prototyping to production level.

　　• Represent Amazon in academia community through publications and scientific presentations.

　　• Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.

　　A day in the life

　　Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan

　　If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

　　About the team

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　Basic Qualifications

　　PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

　　5+ years of applied research experience

　　Experience programming in Java, C++, Python or related language

　　Experience with neural deep learning methods and machine learning

　　5+ years of building machine learning models or developing algorithms for business application experience

　　Preferred Qualifications

　　7+ years of relevant broad industry or academic applied research experience post PhD in developing algorithms for computer vision, deep learning, perception and sensor calibration.

　　Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.

　　Expertise building and testing real-time systems.

　　Experience building and supporting large-scale infrastructure and tool development for scientific/engineering users.

　　Demonstrated experience incubating and productionizing new technology from idea generation through implementation.

　　Experience in professional software development.

　　Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

　　Experience with large scale distributed systems such as Hadoop, Spark etc.

　　Publications at top-tier peer-reviewed conferences or journals.

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.