Senior Applied Scientist, Robotics AI (US, Virtual)

As a Senior Applied Scientist in Robotics AI, you will develop, improve and maintain innovative solution and bring cutting edge research into production. The ideal candidate has experience designing and analyzing innovative solutions, enjoys analytical problem solving and can quickly prototype ideas as well as write production-ready code.

Major responsibilities

Research, design, implement and evaluate complex perception and decision making algorithms integrating across multiple disciplines and leveraging machine learning.
Create experiments and prototype implementations of new learning algorithms and prediction techniques.
Work closely with software engineering teams to drive scalable, real-time implementations.
Collaborate closely with 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.
Collaborate with teams in different geographical locations.
Track general business activity and provide clear, compelling management reports on a regular basis.
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.

5+ years of relevant Industry or Academic applied research experience in Computer Vision, Perception and Machine Learning or related field.
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 in an Computer Vision, Perception and Machine Learning or related field.
Depth and breadth in state-of-the-art computer vision and machine learning technologies.
Strong coding and software development skills.
Proficiency in model development, model validation and model implementation for large-scale applications.
Experience with defining research and development practices in an applied environment.
Significant peer-reviewed scientific contributions in premier journals and conferences.
Proven track record in technically leading and mentoring scientists.
Knowledge of fundamentals in optimization, supervised and reinforcement learning
Excellent problem solving ability
Demonstrated ability to lead research projects and identify fruitful research directions
Demonstrated ability to work on cross-functional teams


For Regular jobs based in Colorado and virtual jobs where work can be performed in Colorado: The pay range for this position in Colorado is $167,100 - $226,100. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. For more information regarding Amazon benefits, please visit https://www.amazon.jobs/en/benefits. Applicants should apply via Amazon’s internal or external careers site.


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.