Job description:
x is alphabets moonshot factory. we are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. our goal: 10x impact on the worlds most intractable problems, not just 10% improvement. we approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. about the team tidal is a team at x working on a moonshot to protect the ocean and preserve its ability to support life and help feed humanity, sustainably. our initial area of focus is on developing hardware and software technologies that bring greater visibility and understanding of whats happening under the water. learn more about project tidal . about the role as an applied machine learning software engineer at tidal, you will be working alongside other software engineers, perception experts, and research scientists to develop and deploy state-of-the-art methods to create a platform leveraging perception and machine learning to solve humanitys biggest problems from food production to renewable energy to climate change by sustainably utilizing the ocean. your role will be to enable developers to run ml workflows smoothly and efficiently. you will develop sustainable, scalable solutions to ensure the reliability and performance of these ml workflows, improve engineer productivity and ultimately help advance our perception and ml platform. if you love getting tech to work on challenging, real world problems, please apply! how you will make 10x impact work with our customers to understand the problem space, run experiments, collect data, and design novel and breakthrough ml solutions profile ml performance at both model level and system level, identify performance bottlenecks and optimization opportunitiesimprove and streamline large-scale machine learning workflows for training and inference by analyzing, understanding, and fixing bottlenecksenable better component-wise testing of training workflowsautomate data uploadprocessingtrainingevaluatingdeployingoptimizing pipelines and develop monitoring and notification tooling to track statistics of the pipelines, improving debuggability and introspection into these complex workflowsrespond to and resolve emergent problems in production; test ml training pipelines; write software and build automation to prevent problem recurrencekeep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development workengage in capacity planning, quota management, and demand forecasting for ml workflowscollaborate with stakeholder teams to implement and evolve large-scale machine learning infrastructure what you should have bs degree in computer science or a related field, or equivalent practical experiencestrong programming skills in python andor c++expertise in data structures, algorithms and complexity analysis.experience designing, analyzing, and troubleshooting large-scale distributed systems, especially enterprise cloud services (e.g., gcp, aws)experience with ml platforms, solutions, and infrastructure deployed to solve real world problems itd be great if you also had these experience with c++ andor goexperience with tensorflow or pytorchexperience with sql or similar, and parallel data processing pipelines (e.g. flume, apache beam)expertise in architecting and deploying machine learning pipelines at scaleexpertise in getting ml models into productionfamiliarity with state-of-the-art ml models for perceptioncomputer vision taskscustomer-facing experience creating software solutionsms or phd degree in computer science or a related field, or equivalent practical experience

Resume:
<<highlightsproficient inobjective - cjavac/c++prior experience d injavascripthtmlphp education master of science:computer science,expected in2015-george washington university-washington,dcgpa:status-bachelor of engineering:detection guidance and control technology,expected in2013-nanjing university of aeronautics and astronautics-nanjing,jiangsugpa:status- work history software engineer,2016-currentvertiv holdings, llc– ,learning basic software engineer's working skills, including unit testing, code quality improvement, and so on. well as doctors, clinicians, and patientsprogramming language: java, javascript, html, css.ios developer - internship, 09/2015-2016abroad intellect capital–city,state,worked on an ios project with a team, developed: push notifications, cursor library, and caching within the ios framework.applied sqlite to communicate between the mobile app and the company's web application.programming language: objective-c, swift.junior ios software engineer, internship, 04/2015- 08/2015lifefuels–city,state,develop an ios application with software development team.get involved in most project phrases, from ui/ux designing, software development, software debugging to software testing.collected data from other mobile application or web application based on oauth 2.0 protocol.improved user experience by adding uikit animations and spritekit animations.programming language: objective-c.ios developer, project manager, 05/2014-2015china concordia infotech co.ltd–city,state,developed an ios task manager application, with both on-line and off-line information system.involved at every project phrase, from concept creation to app store deployment.responsible for general maintenance of application library and debugging.programming language: objective-c, php.