Applied Scientist Fleet Scheduling and Optimization, Amazon Robotics, Autonomous Mobility
North Reading, MA - USA
Job Summary
The Amazon Robotics Autonomous Mobility software team is seeking an Applied Scientist to research and develop state-of-the-art algorithms and software that manage fleet of robotic this role you will apply the latest trends in research to solve real-world problems in scheduling and optimization to improve how a fleet of robots complete their tasks. You will collaborate with an exceptional team of scientists and engineers building a new generation of autonomous mobile robots to power the Amazon fulfillment and transportation networks.
Key job responsibilities
- Architect design and implement robotic applications and infrastructure.
- Influence the teams strategy and contribute to long-term vision and roadmap.
- Work with stakeholders across the organization to iterate on design and implementation.
- Maintain high standards by participating in reviews designing for fault tolerance and operational excellence and creating mechanisms for continuous improvement.
- Prototype and test concepts or features both through simulation and emulators and with live robotic equipment
- Work directly with customers and partners to test prototypes and incorporate feedback
- Mentor other engineers on the team.
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 wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
- PhD or Masters 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.
- 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 for more information. If the country/region youre applying in isnt 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 MA North Reading - 142800.00 - 193200.00 USD annually
Required Experience:
IC
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