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.
HighlightsGuest servicesInventory control proceduresMerchandising expertiseLoss preventionCash register operationsProduct promotions
ExperienceSoftware Engineering Intern,06/2015-PresentIntel Corp.–San Diego,CA,Created the full stack of an online platform for analyzing cancer-targetting antibodies.Created a Python program that takes as input the DNA sequence of an antibody and calculates sophisticated scientific metrics such as protein structure.Implemented a hierarchical clustering algorithm to group similar protein sequences using scikit-learn.Designed and implemented MySQL databases.Built the entire PHP backend that connected to MySQL.Built a responsive frontend with Bootstrap, JQuery, and Ajax calls.Research Assistant,08/2014-07/2015New Jersey Institute Of Technology–Newark,NJ,Wrote 50% of the code for a Python scientific computing project that mines and analyzes large amounts of data from the Git logs and mailing lists of open-source projects.Designed and implemented an entity resolution algorithm that ran in O(n) time with over 90% accuracy.This replaced an O(n^2) algorithm and was crucial in being able to examine data across all sources.Created data science experiments and visualizations from Bigbang data.Experiments dealt with graph theory and statistics.Github:https://github.com/sbenthall/bigbangSoftware Engineering Intern,06/2014-08/2014Intel Corp.–Allentown,PA,Developed an iOS app and a web server for bMobilized (www.bmobilized.com) to bring the company's website builder to iOS.Used Node.js, MongoDB, CouchDB, the Salesforce Mobile SDK, and iOS networking libraries.Built an auxiliary Python project to scrape the existing website builder and perform pattern matching on its HTML.It used this to automatically generate displays for iOS.
EducationBachelor:Computer Science,Expected inMay 2017-University of California Berkeley-Berkeley,CAGPA:GPA: 3.86Status-Computer Science GPA: 3.86
SkillsAjax, cancer, clustering, com, databases, DNA, experiments, HTML, PHP, JQuery, mailing, MongoDB, MySQL, networking, Python, scientific, statistics, web server, website>>. The result is, 

Fit assessment: Good Fit