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 summarywith the attitude of learning i am looking for an internship from summer 2017 to gain as much as knowledge as i can and contribute to the organizations success. core qualificationsc, c++, c#, sql pl/sqloperating systems: windows, linux, unixhdl/hvl: verilog, systemverilogscripting language: unix shell scripting, perl, python, tclsoftware proficiency: cadence (layout, virtuoso, spectre), synopsys(dc compiler), modelsim, questasim, tfs for version controller, microsoft sql server 2012, visual studio 2008 experience software engineer, 12/2015- 08/2016torch technologies, inc.– ,indiaanalyze internal processes and recommend and implement procedural changes to improve operations in database.analyze the requirement and make the necessary changes in the existing modules.support and maintenance of the specific module.system engineer, 04/2013- 12/2015apex systems– ,indiaworked in sdlc and agile framework made me flexible in working as and when required consistent performance and ownership of the task while maintaining of the module in data ware house project.interacting with clients (uk united biscuits, canada td bank, ing bank singapore) during analysis, development & implementation phase gave me a global exposure of interacting with the people across different regions of world.understanding the requirement of the customers while providing customer support and testing of functional and technical queries, request, requirements and modifications.conducted training sessions to train juniors for the same technology.achievements customer satisfaction index for the project increased from 82.7% to 97.8% in the duration of 6 months for the consistent performance and various suggestions and effective solutions being provided for the improvement of the system.received an appreciation from vp of td bank mr.barkla for a successful delivery of the compliance project within the time lines.on the spot award" for leading and managing event for the account (tcs).safety champion of women safety initiative in the organization for 2015.i was leading a team of 10-15 people for a year in which i was interacting with various employees in the office, explaining them the significance of ergonomics, suggested exercises and also encouraging them to practice the same.received all india mahindra talent scholarship in the year of aug-2006 for securing 85.73% jrd tata scholarship in the year of sept-2009 of for the accomplishment of 84.12% in the diploma. education masters:electrical & computer engineering,expected infall 2016-portland state university-,oregongpa:status-electrical & computer engineering 4.0digital ic and design(ece 525) ahsan asic design modelling & synthesis (ece581) xiaoyu song verilog workshop (ece 510 )roy kravitz.:,expected in--,gpa:status-microprocessor system design (ece585) mark faust embedded systems design with fpgas (ece544) hammerstrom pre-silicon functional verification by prof. schubert:,expected in-mumbai university-,mhgpa:status-bachelor of engineering:electronics & telecommunications,expected injuly 2012--,gpa:status-electronics & telecommunications 67/100 core subjects: digital logic design digital communication electronics devices and circuits i analog digital ic design applications electronics devices and circuits ii simulation of software workshop microprocessor and micro-controllers i microprocessor and micro-controllers iidiploma:electronics & communications,expected injuly 2009-maharashtra state board of technical education-mumbai,mhgpa:status-electronics & communications grade : 84.12/100 core subjects: electronic components and devices programming in c digital techniques and microprocessor micro-controllers digital communication embedded systems skills agile, asic, c++, cadence, controller, clients, customer satisfaction, customer support, , delivery, electronics, embedded systems, ergonomics, functional, layout, linux, logic, managing, mark, microprocessor, c#, office, 97, windows, /sql, perl, processes, programming, python, requirement, safety, sdlc, scripting, simulation, microsoft sql server, sql, system design, tcl, unix shell scripting, verilog, visual studio.