Applied Scientist - Fleet Scheduling and Optimization, Amazon Robotics, Autonomous Mobility

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right Basic qualifications: - PhD, or Master's degree - PhD in Engineering, Science, Technology, Computer Science, Mathematics or a related quantitative field (OR equivalent Masters Degree plus 4+ years experience in CS or related field) - 1+ years of experience programming in Java, C++, Python or related language - Relevant industry or academic applied research experience in developing optimization or scheduling algorithms for fleets of mobile robots. - Experience building machine learning models or developing algorithms for business applications. - Strong background in algorithms and hands-on experience developing algorithms for highly-scalable systems. - Ability to work on a diverse team or with a diverse range of coworkers. Preferred: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - PhD and 2+ years of relevant industry or academic research experience in developing scheduling and optimization algorithms. - Extensive knowledge and practical research experience in one or more of the following areas: optimization, operations research, machine learning. - 2+ years experience programming in Java, C++, Python or a related language, and experience building high-quality, scalable production software. - Scientific mindset and the ability to invent and problem-solve. - Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences. - Publications at top-tier peer-reviewed conferences or journals - Experience with mentoring other engineers. - Demonstrated ability to design, implement, and test in a fast-paced environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, North Reading - 142,800.00 - 193,200.00 USD annually