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:
<<professional summarysoftware engineer with over 5 years of professional software development experience in highly scalable backend systems, web development, and product management. adept in critical thinking, advanced software proficiency, programming languages, and system design for enabling solutions with enhanced efficiency, well as low operation costs. accomplishmentsco-authored 4 patents filed at uspto.invited to vmware radio 2016 for a paper presentation on geo distributed monitoring systems.certificate of recognition awards at vmware.successfully led 4 major projects at amazon unblocking 100+ internal customers and many retail initiates. skills shell scriptingjava, c++testing, troubleshooting and debuggingdocker, vmware esxi, vcenter, vcloudteamwork, collaborationdirector, zabbix, linuxagile, scrumhtml & javascripttestng, jenkinssqlperformance and scalability optimizationobject-oriented programmingtechnical writingpython, r & shell scriptingrestful web servicesagileapic++debuggingdeliveryhtmljavajavascriptlinuxdirectorobject-oriented programmingoptimizationpressprocessespythonreal-timeretailscrumsdlcshell scriptingsoftware developmentsqlteamworktechnical writingtroubleshooting work history software development engineer, 04/2018tocurrentring– ,working in platform team running the core of amazon's retail business.led development of multi-tenant, highly scalable software solutions.engineered software release for efficient and highly scalable web solutions.completed four major projects, from press release to final delivery covering all sdlc processes.building solution with 30% adoption rate, handling 1.4 million transactions per second leading to 7- 9% improvement in backend requests for amazon products including amazon music and alexa.carried out performance optimizations leading to imr savings of approximately 7% or $10 million.ran campaigns for migrating close to ~400 internal customers to improve platform availability and security.software development engineer intern, 05/2017to 07/2017leidos holdings inc.– ,responsible for requirements, analysis, design, and implementation of a stateless post request service running the core of amazon's retail business.unblocked close to 40+ key customers including amazon's cart and checkout leading to the increased adoption rate of platform.member of technical staff, 07/2013to 08/2016advance energy–vancouver.indiadesigned and implemented geo-distributed monitoring solution for real-time monitoring of various vcloud air systems using open source technologies.collaborated with an agile development team to build java annotation-based framework for writing and orchestrating simple and efficient test libraries for restful api services.built orchestration tools for system engineers across 6 teams performing load tests, stress tests, and writing user workflows for testing vcloud air systems. education master of science:computer science, twin cities,expected in2017touniversity of minnesota-,gpa:gpa: 3.82bachelor of engineering:computer science, bangalore,expected in2013tobmsce-,gpa:gpa: 8.9 skills shell scriptingjjava, c++ttesting, troubleshooting and debuggingddocker, vmware esxi, vcenter, vcloudtteamwork, collaborationddirector, zabbix, linuxaagile, scrumhhtml & javascriptttestng, jenkinsssqlpperformance and scalability optimizationoobject-oriented programmingttechnical writingppython, r & shell scriptingrrestful web services,agile, api, c++, debugging, delivery, html, java, javascript, linux, director, object-oriented programming, optimization, press, processes, python, real-time, retail, scrum, sdlc, shell scripting, software development, sql, teamwork, technical writing, troubleshooting.