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:
<<summaryhaving achieved a milestone of 7+ years of working as a software quality process manager within the financial software industry, i would be a great addition to your product management team as i have extensive experience with coordinating and managing efforts with multiple teams consisting of solution architects, project/program managers, product managers, and production support to name a few. experience has taught me flexibility and versatility in developing innovative resolutions to a myriad of complex organizational problems while also dealing directly with clients. key skills microsoft office suitesharepointhp quality centertraccrystal reportssqlfailure modes effects analysis (fmea)requirements managementsystem-a-tion business analysis certificationcertified helixplan methodology facilitatorsystem-a-tion business requirements certificationvisual basic (vb.net)html experience software quality assurance consultant, 03/2010- 05/2015valmet corporation– ,qa software process manager on large scale enterprise implementation projects for multiple national/international financial institutionsmanaging the development and implementation of cross-company qa process throughout the sdlc including estimation, forecasting, budgeting, requirements review(s), requirements traceability, test schedule, overseeing testing execution, and defect resolution for implementation(s)process management- collaborated/coordinated with senior leadership to design end-to-end process methodology that led to an increase in overall estimation and forecast accuracy by more than 12% on project implementationsprocess development- developed process templates to close gap between client user experience and end customer experience that resulted in identifying additional requirements that would have created a scope gap later on in the sdlcprocess improvement- integrated qa methodology with the program/project management practice to create software quality standards across client and internal teams within the sdlc that resulted reducing implementation defects by 28% on averagebusiness analyst,2009- 03/2010metavante–city,state,manage scope and requirements on medium to large scale financial institution projects for enterprise flagship productsdefined requirements by coordinating with solution architect and vendor teams to define testable requirements and scope for implementation projectsrequirements management- analyzed client business needs to formulate project scope & requirements to efficiently translate to technical and testable requirements while cutting down hours for internal teamsrelationship management- developed collaborative relationships with product teams to identify appropriate coverage of business requirements while reducing gaps by 5% on all projectsdocument management- identified necessary documents to fulfill clients' business needs and ensured accuracy and completeness by conducting audits throughout the sdlc to identify gaps early in the sdlc while reducing number of necessary change requests by clients on projectsuser scenario development- coordinated user scenarios and screen mock-ups with clients that increased test coverage allowing early detection of defects within the sdlcsoftware test analyst intern, 02/2008-2009metavante–city,state,perform manual testing on small to medium scale implementation projects for internal systems linking directly into client environmentsdeveloped and managed test plans, test cases, test execution, and defect identification/verificationdata analysis- created test execution reports to identify any potential risks to meeting implementation deadlines test suitedevelopment- leads, and technical analysts to develop testing suite and increased overall testing efficiency by 5%defect management- identified and managed software defects prior to client implementation, resulting in reduced development re-work by 8% mentoring - trained newly hired interns & full-time employees on product specifications/functionality through presentations that effectively reduced learning curve by 30% education mba:,expected in2017--,gpa:status-expected to start in fall 2015bachelor's:business administration,expected in2008-university of wisconsin-milwaukee,wisconsingpa:status-emphasis in finance & marketingpmp certification in progress:,expected in--,gpa:status- languagesurdu hindi english.