Senior Manager, Science, EC2 Placement Science in London - Amazon

Job Overview

London, England
Job Type
Full Time
Date Posted
9 days ago

Additional Details

Job ID
Job Views

Job Description

Job summaryLead a group of scientists and engineers to develop new ways to optimize how EC2 bin packs instances on to the underlying hardware. Apply techniques from combinatorial optimization, operations research and machine learning to help us push the state of the art and deliver meaningful results for customers.Every time an EC2 instance is launched or capacity is reserved, our systems optimize across a range of objectives that cross-cut the AWS organization. As the Senior Manager for EC2 Placement Science you bring structure to ambiguous business problems and apply your scientific and organizational acumen to deliver results. You will define and execute a long-term science vision for our organization, driven from our customers' needs. Because of the broad span of concerns that come together in EC2 instance placement, this role rewards the curious.Key job responsibilitiesPartner with senior leaders across the organization to frame business problems, establish a vision, and execute on your roadmap.Lead a group of applied scientists and software engineers to deliver optimization solutions to production.Hire and develop top talent, provide technical and career development guidance to both scientists and engineers in the organization.Set the scientific culture and lead best practice within organization.Provide thought leadership in the organization and advocate for new initiativesBasic qualificationsPhD in a quantitative discipline such as Statistics, Operations Research, Computer Science, or equivalent experienceAt least 5 years experience leading scientists and engineersAt least 10 years experience developing optimization or machine learning solutions to customer problemsDemonstrated experience with at least one modern programming language, such as Python, Scala, or JavaPreferred qualification One or more of the following help you stand out:Demonstrated technical leadership with 10+ years of exceptional, hands-on experience in building production optimization or machine learning systems at scalePublished research work in academic conferences or industry circlesExcellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organizationExperience building large-scale production distributed systemsExperience with big data technologies, such as Spark, Hadoop, Apache Samza and AWS.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).


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