DESCRIPTION

Our team in Amazon Robotics (AR) is looking for an enthusiastic Applied Science Manager to lead and support a team of scientists in building a foundational model for robotic sensing and manipulation. The collaborative team partners with a diverse set of teams on data and models with the goal of empowering all manipulation programs that deal with millions of distinct items stored in cluttered and dense storage. To do this, we apply a broad range of machine learning techniques and leverage existing models and techniques used across Amazon. We are an interdisciplinary team with a focus on earning trust with our partner teams who we view as collaborators as well as customers. You will work to integrate these new models into existing and future robotic systems and to evaluate their use in deployed systems. Your work and insights will have immediate impact in the impact of robotics technology within Amazon and will also help define the long-term strategy for the role of AI for computer vision and learned behaviors in Amazon’s autonomous robots.

You’ll lead the science team in partnership with 2 principal scientists and an engineering team. This is a unique opportunity for someone who wants to have broad business impact, a direct impact on Amazon fulfillment costs. If you are interested in robotics, computer vision, machine learning, big data, and leading a team to build solutions, this role is for you. We’re looking for a leader who can help influence the vision and communicate and execute with their team.

Key job responsibilities

* Lead and support a team of scientists in designing, training and evaluating foundational models from a heterogeneous dataset
* Partner with principal scientists and engineers to collaborate with other science and engineering teams across Amazon Robotics.
* Tackle and solve challenging science and business problems that balance the generalization capabilities of FMs against the performance benefits of fine-tuning.
* Own a portfolio of pragmatic long-term investments that drive long-term benefits across Amazon Robotics.
* Develop scientists’ careers and skill sets during a period of extraordinary change in the field

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, 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

– PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
– Experience building machine learning models or developing algorithms for business application
– 5+ years of scientists or machine learning engineers management experience

PREFERRED QUALIFICATIONS

– Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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 $165,500/year in our lowest geographic market up to $286,000/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.

USA, WA, Seattle