We are seeking an experienced Senior Research Scientist to join our Motion Planning and Control team. In this role, you will leverage your experience and insights gained from delivering systems to lead us in developing products that are both innovative and scalable. Collaborating with a world-class team of experts in motion planning, control theory, computer vision, machine learning, and robotic hardware design, you will apply the latest research trends to tackle complex real-world challenges. Together, we aim to achieve high-impact algorithmic advancements in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments - each of which carries significant value for our current and future fulfillment networks.
Key job responsibilities
• Research, design, implement and evaluate complex motion planning, controls, and decision-making algorithms that improve the performance of systems deployed in real-world conditions.
• Apply recent advances in topics such as planning optimization, model-based controllers, or grasp affordance learning to our systems in the lab and in the field.
• Lead major initiatives, mentor more junior scientists, and raise the bar for applying science to scalable robotic products.
• Work closely with software engineers to drive scalable, real-time implementations.
• Partner with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.
• 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 for you and eligible family members, including domestic partners. 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!
BASIC QUALIFICATIONS
- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Experience mentoring, coaching, and influencing colleagues, collaborators, and stakeholders
PREFERRED QUALIFICATIONS
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.