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SALESFORCECOM INC Principal/Architect Data Science/ Machine Learning Engineer in Seattle, Washington

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsSalesforce Einstein is seeking a Data Science/ Machine Learning Engineering Architect to help us deliver high-quality, high-impact machine learning solutions to production, powering Salesforce's applications. You will work on designing and bringing world-class ML to production on products used by used by millions of people every day. You will be working with a team of fellow machine learning engineers, software developers, product managers and also designers.In addition to technical skills and data fluency/analytical skills, an ideal candidate is also a great cross-functional collaborator. Working within this large organization and at the scale of delivery, you invest in communication to build alignment and influence others to help deliver what is necessary to bring world-class AI to production for our customers.A day in the life will be:Designing and delivering high-impact machine learning solutions to our customers across a breadth of use casesOversee end-to-end architecture of AI solutions. This includes working on products that bring recommendation engines, classifications and numeric predictions to life for our customersWorking with multiple experienced teams, identifying opportunities for improving our multi-tenant machine learning pipelines. This includes internal product teams to help them bring machine learning into their productsSetting the standard for machine learning excellence in the teams you work with, and collaborating across Salesforce. Help designing experiments through agile data science processes. Mentor other individuals on the teamBring new technologies and frameworks to our teams. Collaborating with platform engineering to help guide and design solutions for new machine learning services, tools and approaches for multi-product, multi-tenant solutionsParticipating in early ideation and developmentLearning about how Salesforce customers use our applications, and finding new, high-impact methods to deliver business value to our customersPartner end-to-end with Product Managers, Application Architects, Data Scientists, Designers and and Researchers where appropriate to understand customer requirements, design prototypes, and bring innovative technologies to productionHelp nurture an environment of learning and rapid iteration.Additional Responsibilities/DutiesDesigns solutions that are enterprise scalable and maintainable. Able to consider a breadth of data use casesDrive strategic technology initiatives, working with Product Managers, other Architects,, Engineers,, SME's and the broader Salesforce organizationWorks in a consultative fashion to improve communication, collaboration and alignment amongst teams inside and outside of the organization.Analyzes and provides feedback on product strategyProvides input into long-range product requirements, best practices, and operational guidelines, with focus on continuous improvement of platform reliability and serviceabilityDrives research, case studies, and prototypes on leading edge technologies and how they can be leveragedEnsures that we are continuously raising our standard of engineering excellenceSkills and ExperienceMastery in multiple machine learning/AI methodologiesComfortable programming in multiple languages, and navigating multiple services in a platform7+ years of experience bringing Machine Learning to production with a PhD/MS in relevant field or10+ years experience with a BachelorsAbility to independently design and deliver large complex projectsAbility to provide (informal) coaching to team members to support their understanding of the architecture and aid in their technical developmentExperien