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: <<Professional SummaryHighly skilled software development professional bringing more than 4 years in software design, development and integration.
 Offering advanced knowledge of cloud components, data ingestion, and Java/Python/JavaScript programming languages.
SkillsPython, Java, HTML, CSS, JavaScript;Application Frameworks: GCP BigQuery, Pub/Sub, Apache Beam, k8s, Stackdriver, Grafana, Tableau, Sumo Logic, DataDog, New Relic, Apigee, Angular, Node.js, Spring, Spring MVC, Spring Boot, Spring Data, Spring Cloud, Netflix OSS,JPA, Maven, Tomcat, Hibernate, Express, Redis, PostgreSQL, MongoDB, Docker, RESTful API, Nginx, TensorFlow, NLP,React, Git, Apache Bench, PostmanApacheAPICookingCSSDatabaseDebuggingDeliveryEngineerETLFunctionalGCPHTMLJavaJavaScriptLeadershipLogicDirectorMarketMongoDBMVCNLPOSSPostgreSQLPricingProgrammingProgressPythonQualityExpressReal-timeSoftware developersTableauTablesTomcatWorkshops
Work HistorySoftware Developer,12/2018-CurrentMaxar Technologies Ltd–Reston,VA,Designed and deployed the first data ingestion pipeline on Google Cloud Platform (GCP) by using Cloud Pub/Sub, Cloud
 Dataflow, Cloud DataPrep, BigQuery, and Stackdriver to collect, store and monitor event data streaming; The ingestion
 pipeline helps data scientist team on collecting the order level data/events, IoT devices status without touching production
 database and support real-time data collecting
 Designed and implemented ingestion service and schemas store by using TypeScript; The ingestion service and schemas
 store helped the entire team automatic generating unpacking pipeline and secondary table for all internal consumers
 Designed and implemented JavaScript SDK & ingest URL to publish events from backend service, IoT devices, and 3rd
 party service; Using JWT token as Authorization, Apigee as API key management tool
 Collaborated with data scientists team to collect requirements of demand prediction models and delivered ETL tables by
 using BigQuery Apache Beam(dataflow) and Cloud Dataprep; Supported 2 data scientist/engineer team, 4 ML models
 including order preparation, dynamic pricing, etc
 Implemented KPI dashboards for cross-functional leadership to monitor data growth weekly and for 4-5 teams of data
 scientists to monitor data ingestion and data quality daily.Used Tableau and Grafana to build data models and visualize data
 hosting millions of daily data entries
 Led a team of 4 software developers to collect user requirements from the factory operations team, translated the business to
 technology need to the services team and ensured consensus, spearheaded the build of Grafana dashboard to track time-series
 metrics from IoT device.The dashboard was used by the factory team to monitor progress and by the cross-functional data
 scientist team to build on models
 Built IoT device alerting and monitoring system prototypes by ingesting data, customizing Apache Beam job to run and
 normalize data, and created real-time alerting functions with zero delay; collaborated with 2 PMs to understand user
 requirements, owned the end-to-end prototype build in 2 weeks, demoed in front of 10+ director-level board members
 Decoupled and migrated the monolithic backend service to microservices by using Node.js, RESTful API
 Designed and implemented the Market microservice and database to support food cooking and delivery service by using
 PostgreSQL, Knex, RESTful API, Express.js, and Typescript
 Onboarded 100+ incoming software developers nationwide; revamped and expanded knowledge transfer document,
 conducted workshops and 1:1s to help new joiners set up and understand environments, owned debugging and answered
 questions.Programmer,03/2016-12/2018New Jersey Institute Of Technology–Newark,NJ,Designed and implemented an Auto-Test-System(ATS): handle the entire process including design, development,
 implementation, and integration
 Designed test packages (data checker, autographing tool, auto-input-data-file module, testing interface, and results checker)
 based on different standard requirements, ensure accuracy and sustainability of test results.
EducationMaster of Science:,Expected in05/2014-Syracuse University-Syracuse,NYGPA:Status-Bachelor of Science:Electrical, Electronics Engineering Technologies,Expected in07/2011-Inner Mongolia University of Science & Technology-,GPA:Status-
SkillsPython, Java, HTML, CSS, JavaScript;AApplication Frameworks: GCP BigQuery, Pub/Sub, Apache Beam, k8s, Stackdriver, Grafana, Tableau, Sumo Logic, DataDDog, New Relic, Apigee, Angular, Node.js, Spring, Spring MVC, Spring Boot, Spring Data, Spring Cloud, Netflix OSS,JJPA, Maven, Tomcat, Hibernate, Express, Redis, PostgreSQL, MongoDB, Docker, RESTful API, Nginx, TensorFlow, NLP,RReact, Git, Apache Bench, Postman,Apache, API, cooking, CSS, database, debugging, delivery, engineer, ETL, functional, GCP, HTML, Java, JavaScript, leadership, Logic, director, Market, MongoDB, MVC, NLP, OSS, PostgreSQL, pricing, Programming, progress, Python, quality, Express, real-time, software developers, Tableau, tables, Tomcat, workshops>>. The result is, 

Fit assessment: No Fit