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.
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.
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.
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.
Company Phone Number
When Amazon.com launched in 1995, it was with the mission “to be Earth’s most customer-centric company.” What does this mean? It's simple. We're a company that obsesses over our customers. Our actions, goals, projects, programs and inventions begin and end with the customer top of mind. In other words, we start with the customer and work backwards. When we hit on something that is really working for customers, we double-down on it with hopes to turn it into an even bigger success. However, it’s not always as clean as that. Inventing is messy, and over time, it’s certain that we’ll fail at some big bets too.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? Our approach remains the same as it was on Amazon’s very first day — to make smart, fast decisions, stay nimble, innovate and invent, and focus on delighting customers.
“We continue to aspire to be Earth’s most customer-centric company, and we recognize this to be no small or easy challenge. We know there is much we can do better, and we find tremendous energy in the many challenges and opportunities that lie ahead.” – Jeff Bezos
Permanent Full Time
Jul 29, 2022
Dependent on Experience
We are seeking an experienced and Senior Applied Scientist who is interested in working alongside Software Engineers and Applied Scientists to bring Computer Vision innovations to Fulfillment Centers. We work on machine learning, planning, control, simulation and computer vision applied to robotics, particularly to manipulation and item understanding. We are expanding our team to meet the huge application demand in Amazon.
How To Apply
Apply at https://www.amazon.jobs/en/jobs/1804328/senior-applied-scientist-robotics-ai or search job ID 1804328 at amazon.jobs . Make sure in your application to state you heard about the role from BWiAI.