DescriptionAmazon Robotics is building a new foundational system which will transform warehouse robotics. The team is seeking a Senior Applied Scientist to define and scale the perception components underlying the system. The ideal candidate is passionate about classical and deep learning approaches to computer vision. They have solved CV problems for real world systems and seen their solutions deployed at scale. They are a hands-on expert, with a deep and broad understanding of sensors, CV algorithms and integrating CV into a larger systemKey job responsibilitiesApplied Scientists take on big unanswered questions and guide development team to state-of-the-art solutions. We want to hear from you if you have the ability to think big and conceive of new ideas and novel solutions and the drive to take those ideas over the finish line.Your responsibilities will include: Drive CV innovation to help robotics systems transition from structured to unstructured environments Apply your experience and judgement in selecting best-of-breed CV approaches and sensors Collaborate with hardware and systems engineers to design highly customized vision systems Guide engineering teams in building perception pipelines for scaleA day in the lifeAmazon 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) PlanIf 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!We are open to hiring candidates to work out of one of the following locations:North Reading, MA, USA | Seattle, WA, USA | Westborough, MA, USABasic Qualifications
Experience programming in Java, C, Python or related language
PhD, or Master's degree and 6+ years of applied research experience
2+ years of experience with classical Computer Vision techniques and related areas like calibration and sensor integration
Preferred Qualifications
Depth and breadth in state-of-the-art computer vision techniques
Experience evaluating, and developing innovative algorithms for CV systems for robotics.
Proven ability to develop practical solutions to complex problems.
PhD and 10+ years of academic or industry applied research experience in Robotics or Computer Vision
Excellent written (research papers) and oral communication skills.
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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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.