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 summaryardent and intelligent software engineer capable of providing sterling service using my technical prowess, hard working nature and interpersonal skills. skills java, c++, xml, html, css, javascript, spring mvc, restful web services, j2ee-jsp, servlet, jdbc, sql - mysql, oracle, sql server, hadoop-mapreduce, hive. · matlab-programming and modeling, neural network regression tool, genetic programming gptips tool.proficient in developing machine learning algorithms viz. neural network, genetic algorithms, genetic programming, swarm intelligence based algorithms. · microsoft excel functions, regression tool box and vba for data cleansing, normalizing and scaling . · vlsi chip designing using cadence tool. · windows, linux, unix. · office, latex, visual studio work history 12/2015topresentsoftware developerrapid global business solutions, inc–.client: state teachers retirement system, ohio.technologies used: java, spring and hibernate frameworks, gwt framework, restful web services, xml, json, jdbc, jsp, html, css, /sql. 08/2013to 08/2014graduate teaching assistantpurdue university–.for the courses: objected oriented programming and data structures, network security, data driven websites, engineering calculus, unix and c.grader for the. education expected inaugust, 2015totom.s:computer science and engineeringuniversity of toledo-,gpa:computer science and engineering gpa: 3.83 / 4.0expected in2013totob. e:electrical and electronics engineeringanna university-,gpa:electrical and electronics engineering gpa: 8.32 / 10.0 skills c++, calculus, eclipse, xml, java, jsp, javascript, jdbc, json, linux, machine learning, math, matlab, mysql, network security, /sql, scaling, sql server, unix and c, unix, vba, visual studio.