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:
<<career overviewmerrimack college alumnus possessing a strong aptitude and interest in topics of mathematics and finance. currently employed at air worldwide as an sqa engineer iii. additionally i have further developed my skill sets and broadened my professional expertise through two internships with fidelity investments. qualificationssql, c++, c# microsoft office suite education and trainingmerrimack collegenorth andover,maexpected inmay 2014––b.a:mathematics-gpa:mathematics,expected in––b.s:business administration finance-gpa:3.17business administration finance 3.17 member of pi mu epsilon: national mathematics honor society,expected injuly 2016––exam p/1 september 2014 exam fm/2 october 2015 exam mfe/3 expected:-gpa: work experience abbott laboratories- , 11/2014-presentensure the quality of flagship product touchstone, a platform for assessing the catastrophic risk associated with an insurer's portfolio, through quality assurance methods, performance benchmarking and bug testing.utilize automated testing to ensure the addition of new features/bug fixes does not result in performance and quality regressions.regularly present findings to stakeholders in order to aid in the decision making process of prioritizing new features and bug fixes.hca- , 06/2013- 08/2013developed a process map detailing the workflows and deliverables of the various asset management divisions in support of their multi-year business plans. an effort to streamline internal operations.fidelity investments-global data services interncity,state, 05/2012- 08/2012worked closely with members of the investment services team in order to develop an acute understanding of their data needs regarding department wide investment decisions.led quality assurance of data received from bloomberg, morningstar and other industry resources to ensure accurate global security reference data. skills streamline, asset management, benchmarking, bloomberg, business plans, c++, decision making, features, financial analyses, mathematics, c#, microsoft office suite, quality, , sql.