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: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
SkillsFileMaker, SQL, Javascript, and .NET
languages. Asp.Net (2 years), Vb.Net (2 years), Javascript (4 years), Microsoft Office (6 years), SQL (2 years), VBA (1
year)
ExperienceSoftware Engineer,06/2014-12/2016–New York,NY,uCompose 2.0 PRODUCTION MANAGEMENT SYSTEM.2015 Above and Beyond Award Recipient.FileMaker.iPads, Windows Surface, PC, Printing.Converted an existing production and inventory management system from primarily paper-based to ~95%
device-based.Implemented iPads at the Production, Inventory, and Shipping levels.PC-based and printable reports for administrative staff.Reduced input lag from one day to minutes; gave administrative users real-time production reports.Allowed supervisors to create different versions of recipes (e.g.in case of ingredient shortage), and to swap
out recipes for a production run, recalculating ingredient needs instantly.Real-time production reports, combined with a "production queue" of upcoming jobs, gave supervisors
vastly increased flexibility in responding to customer needs, output irregularities (pro and con), and ingredient
shortages.Allowed us to comply with SQF standards by enabling supervisory staff to approve every step of the
production process
MAINTENANCE SYSTEM.iPads for Maintenance Technicians.iPad and PC Layouts for Maintenance Manager.Touch-based design scheme developed with maintenance workflow in mind
SCOUTBOSS.SQL Database.Javascript and REST API.Enabled boy scout units to enter orders for popcorn.Enabled council and district leaders to manage orders for their units.Provided printable invoices and various reports used by council and district leaders.Calculated commission percentages, tracked payments, and directed award-winners to their respective prize
sites based on council
BUILDING-WIDE WiFi.Added wireless access points to all warehouses and loading docks.In conjunction with the Production Management System, made it possible to keep all aspects of production,
inventory, shipping, and receiving up-to-date.Reduced lag time from 1+ day to minutes or hours.Software Engineer,04/2012-05/2014Rue La La–Shepherdsville,KY,Developed administrator interface allowing organizations to file corporate documents with the Secretary of
State.Imported 180 years of corporate data from a mainframe dump file into the current SoS database using a
WinForms application running a batch routine.Developed a system wherein 600 business-filing relationships could be filed using an asynchronous, modular
webpage designed to be utilized by administrative and public users alike, with varying permissions based on
user role.Developed a web page to allow users to add to, delete from, and update these relationships instantaneously,
and preview the resulting form.Utilized Dynamsoft's javascript API to deliver client-side scanning and image upload functionality.Allows users to add official documents to the government datastore with the click of a button.Implemented user-friendly audit trail functionality that could be applied to any table in the database with the
switch of a parameter.Utilized Telerik Reporting tools to generate date-range reports on new businesses, invoice receipts and
remitter letters, and state-issued certificates
VOTER REGISTRATION PROJECT.Used Telerik reporting and user interface tools to allow efficient, dependable maintenance of voter registration
information.Implemented one-touch scanning process that incorporated barcode labels created via javascript.Barcodes are read by scanning software and used to associate the scanned image with a specific voter
change record.Used in a multi-step voter record confirmation process.Assisted with a WinForms application used in onsite polling in Iowa elections.Business Intelligence Analyst,07/2010-07/2012Rue La La–Homeland,FL,Utilized BI tools to deliver analytical data to business users.Leveraged data warehouse knowledge at the semantic and presentation levels.Network Margin Project.Held on-site JAD session with clients.Daily meetings with clients to reiterate requirements and gauge progress.Created 50-page User's Guide to the Network Margin system.
Education and TrainingBachelor's:Computer Science,Expected inMay 2010-University of Wisconsin-Platteville,WIGPA:Status-Computer Science
Skills.NET, Asp.Net, Vb.Net, administrative, API, BI, council, client, clients, data warehouse, Database, dependable, FileMaker, filing, government, image, inventory management, Inventory, Javascript, letters, mainframe, meetings, access, Microsoft Office, Windows, Network, manage orders, page, PRODUCTION MANAGEMENT, progress, read, real-time, receiving, reporting, scanning, scheme, Shipping, Software Engineer, SQL, supervisory, switch, user interface, VBA, web page, workflow>>. The result is, 

Fit assessment: Good Fit