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 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.
SkillsAzure (2 years)SQL (2 years)NET (6 years), C++ (8 years), C (6 years)HTML, Javascript (3 years)Java, ASP, JSP (3 year)Socket Programming using C and C#Assembly Language Programming on microprocessor 8085
Work History06/2012toCurrentSoftware Engineer 2Dell|Walburg,TX,Working at Microsoft, Hyderabad from June, 2012 and am part of the MACH (Microsoft Academy of College Hires) program which mandates a change of teams every 6 months.In the past 2 years, I have worked 6 months each on - Business Intelligence project for a Reporting Application for the premier customers of Microsoft.Worked extensively on Databases, handling reporting for data more than 700GB.Developer Analytics team for a project on big data mining and analysis providing a cloud solution that collects logs, exceptions and then using machine learning, algorithms to categorize and present this data to help the developers of Azure applications to figure out earlier unknown errors.Platform Creation on Azure for the entire Marketing portfolio in Microsoft such that is maximizes scalability, availability and cost-efficiency.Migration of Employee Data Management to Azure which is a global launch of employee self-service transactions and manager self-service transactions.Have done 9 weeks of internship at Microsoft, Hyderabad from May, 2011 to July, 2011.Developed a framework for connectivity to the SQL Database and deployed it successfully.Also performed Regression Testing and Performance Testing on the applications developed by the organization.Paper Presentations: Presented a paper, "Data transfer using Wi-Fi - Methods, Security and Applications" in an International Conference "Advances in Computer and Communication Technology" held in Mumbai conducted by the IETE.Projects Done: Final Year Project - Vicinity File Drop A solution to eradicate the use of pen-drives, hard disks and other storage devices in order to transfer data between devices in close proximity using Wi-Fi.Initially, an Ad-hoc network is set up and the nodes that are in vicinity (within Wi-Fi range of each other) are identified.The file is encrypted at the sender's side and sent and is decrypted at the receiver's side.The encryption/decryption is done using the AES algorithm and other security issues like Spoofing, Sybil attack are reduced in the application.The data is sent much faster and in a secure manner with an easy-to-use interface Mini - Projects Network Sniffer" Created an application using C# that gives the information of all packets being transmitted over the network that are using TCP or UDP.The captured information is decoded from raw digital form into a human-readable format that permits users of the application to easily review the exchanged information.The Network Sniffer monitors the network and it measures the amount and type of traffic on the particular network.Information is extracted from packet headers and displayed on the basis of user settings such as filters, time, etc.Development of an Air Traffic Control System" Created an interface for the air traffic controller that manages all landing, taking off and passing-by flights in the given air space using Visual Basic as the front end and created the database in Oracle for fast query retrieval.The system automatically transfers the control of the flight from the air controller to the ground controller once the flight has landed to be directed to the correct parking bay and vice versa when the flight is ready to take off.Performance of String Search Algorithms on Heterogeneous Computing (CPU/GPU) platforms" Implemented two algorithms namely, Brute Force and Boyer-Moore using normal conventional programming and tested the performance of each.Attempted to implement the same using CUDA on the GPU platform and found that the Boyer Moore execution is much faster and can be parallelized to a greater extent.Major Achievements: Gold Medalist of the university in the Information Technology branch for securing the 1st rank amongst more than 300 students.Represented the college in an international coding contest "IEEE Xtreme" and was ranked amongst the top 500 teams in the world.The online contest was held across the globe for a period of 24 hours and was organized by the IEEE professional association.Participated in the "ACM ICPC" (International Collegiate Programming Contest) Regional Contest in the Asia region, organized by the ACM professional association.Secured 1st place in a hacking contest "Crack-o-Hack" organized by the CSI Regional Student Convention.Won the 1st Prize (Gold Medal) in a Computer Science Competition in Standard 11 for the project, "Learn Trigonometry on the Mobile" in the year 2006.
EducationExpected in2012totoB-Tech|Information Technology,,GPA:Information TechnologyExpected intoto|Gold Medalist of University,,GPA:GPA: 86 GPA: 9.46Expected in2008toto|Nowrosjee Wadia College of Science,,GPA:Expected in2006totoDegree Institute/School City Year Grades|Vidya Bhavan High School,,GPA:
Skillsbig data, Business Intelligence, C++, encryption, Data Management, Data transfer, Java, JSP, Javascript, machine learning, microprocessor, C#, Oracle, SQL, Visual Basic>>. The result is, 

Fit assessment: Good Fit