For the given 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>> the resume: <<Executive ProfileExperienced business executive with demonstrated success in managing P&L and growing new business through innovative growth strategies worldwide.  Excellent ability to develop relationships and strategic alliances with organization leaders to align, support and grow business initiatives.  Outstanding presentation, communication and cross-cultural team management skills.  Highly results-oriented leader with an entrepreneurial attitude.
Skill Highlights2010 - 2011 	 Shunra Software, Philadelphia, PADirector, SalesResponsibilitiesEstablished sales in high value verticals and potential acquirers.HighlightsInitiated relationship and closed business with key teams at major networking and consumer software technology firms.Identified and shepherded an OEM relationship with Cisco.2008 - 2010	 dynaTrace Software, Linz, Austria/Lexington, MA (sold to Compuware)Director, West SalesResponsibilitiesEstablished direct sales in western US.HighlightsInitiated and closed opportunities with a diverse range of enterprise and SaaS businesses, including Bank of America, Microsoft, LinkedIn, Salesforce, Zappos.2003 - 2007	  Network Physics Inc., Mountain View, CA (sold to OPNET)VP, SalesResponsibilitiesDeveloped and managed international sales and US channel sales.HighlightsEstablished European presence and closed first sales in major markets.Recruited and managed an EMEA sales team and built a profitable dynamic EMEA business.Recruited and managed a US channels team and built a strong VAR community in major US metro areas.2000 -2002	NativeMinds, Inc., San Francisco, CA (sold to Verity)VP, US West & InternationalResponsibilitiesBuilt and managed a sales organization.HighlightsSold first major US deals and then built and drove a sales organization.Opened EMEA HQ in London.1996--2000 	Tivoli Systems/IBM, San Jose, CA (sold to IBM)Mid-Market Sales Director, 1996Enterprise Channels Director, 1997-1998Application Service Providers Sales Director, 1999-2000ResponsibilitiesDrove revenue in new markets.HighlightsExtensive deal making in large and mid-sized enterprises on all continents, direct and through systems integrators and consulting houses.Hired, trained and managed direct, inside and channels teams to drive business.Selected for executive sales management program at IBM.Small business developmentLeadership/communication skillsBusiness operations organizationClient account managementBudgeting expertiseNegotiations expertCustomer-orientedBusiness operations organizationBudgeting expertiseSelf-motivated
Professional ExperienceVP, Business Development, Information Mgmt & Governance BU, HPE Software,01/2015-CurrentCo-Op Financial Services–Jpl,TX,Responsible for developing and executing on business growth initiatives for the BU software portfolio across HPE divisions and strategic partners.Managed the day-to-day tactical and long-term strategic activities within the business.Compiled and synthesized relevant business data such as financials, performance, AUM and headcount forecasts.Drafted business plans, budgets and quarterly and semi-annual business reviews.Offered feedback to executive-level management on the effectiveness of strategies, selling programs and initiatives.VP, Information Mgmt SaaS Business,09/2012-2015Hewlett Packard–City,STATE,Managed $85M SaaS Information Management business.Maximized company revenue through initiation of cross-sell and upsell sales programs.Identified key growth opportunities for the business through large client business reviews, data mgmt and disposition strategies, digitization initiatives.Conducted cost, schedule, contract performance, variance and risk analysis.Compiled and synthesized relevant business data such as financials, performance, AUM and headcount forecasts.Maintained weekly forecast and financial performance reports.Drafted business plans, budgets and quarterly and semi-annual business reviews.Offered feedback to executive-level management on the effectiveness of strategies, selling programs and initiatives.VP Strategic Sales,09/2011-11/2012Hewlett Packard–City,STATE,Managed development and market entry of new consumer data backup service available on HP PCs.Drove all aspects of the business, from product spec, design and development  to testing, marketing, branding, costing, forecasting and sales channels.
EducationBA:Sociology,Expected in-Bates College-Lewiston,MEGPA:Status-SociologyJohns Hopkins Nitze School of Advanced Intl Studies:   MA, Intl Economics & US Foreign Policy:International Economics,Expected in-Johns Hopkins University-Washington,DCGPA:Status-
Skills>>. The result is, 

Fit assessment: Good Fit