PubMatic is seeking a big data engineer who can work on building the next generation ML platform. The ideal candidate is a self-motivated problem solver with a strong background in big data tech stack, software design and development.If you get excited about building a highly impactful machine learning platform which processes large datasets, in a creative and fast-paced open cultured environment, then you should consider applying for this position. Responsibilities: <ul><li>Build, design and implement our highly scalable, fault-tolerant, highly available big data platform to process terabytes of data and provide customers with in-depth analytics. </li><li>Developing Big Data pipelines using modern technology stack such as Spark, Hadoop, Kafka, HBase, Hive, Presto etc.</li><li>Develop ML based generic workflows, tools, which can be used by ML team for different projects</li><li>Doing POC to evaluate different tools which can be used to build a ML platform that enables ML engineers to write and manage their workflows with ease.</li><li>Develop robust & fault-tolerant systems and monitor implications of changes on data processing pipeline and performance. </li><li>Leveraging a broad range of PubMatic’s data architecture strategies and proposing both data flows and storage solutions. </li><li>Managing hadoop map reduce and spark jobs & solving any ongoing issues with operating the cluster. </li><li>Expertise in developing Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, performing code reviews, committing to Github, preparing documents in Confluence, continuous delivery using Jenkins, automated testing, and operations. </li><li>Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, work item prioritization, etc</li></ul> Qualifications<ul><li>3+ years of coding experience</li><li>Solid computer science fundamentals including data structure and algorithm design, and creation of architectural specifications. </li><li>Expertise in developing Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, documentation, build processes, automated testing, and operations. </li><li>A passion for developing and maintaining a high-quality code and test base and enabling contributions from engineers across the team. </li><li>Expertise in big data technologies like Hadoop, Spark, Kafka, HBase etc. </li><li>Experience in developing and delivering large-scale big-data pipelines, real-time systems & data warehouses would be preferred. </li><li>Knowledge of basic Machine Learning modeling will be an added advantage. </li><li>Experience with Airflow, mlflow will be preferred.</li><li>Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment. </li><li>Demonstrated ability to learn new technologies quickly and independently. </li><li>Excellent verbal and written communication skills, especially in technical communications. </li><li>Strong interpersonal skills and a desire to work collaboratively.</li></ul>

We are immediately hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule.Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business.The ideal candidate will apply quantitative analysis, modeling and data mining to help drive informed product decisions for PubMatic + get things done.ResponsibilitiesPerform deep dive analysis to understand and optimize the key product KPIsApply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application productsConduct data analysis to make product recommendations and design A/B experimentsPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesCollaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentationsQualificationsQuantitative BS or MS degree (Computer Science)2+ years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlibExperience with articulating product questions and using statistics to arrive at an answerExperience with scripting in SQL - extracting large data sets and design of ETL flowsWork experience in an inter-disciplinary/cross-functional fieldDeep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluationDistinctive problem-solving skills and impeccable business judgmentCapable of translating analysis results into business recommendationsCompensation and Benefits :Base Salary Range: $ 145,000 - $ 195,000In accordance with applicable law, the above salary range provided is PubMatics reasonable estimate of the base salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units and a competitive benefits package.#J-18808-Ljbffrby Jobble

We are immediately hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling and data mining to help drive informed product decisions for PubMatic + get things done. Responsibilities <ul><li>Perform deep dive analysis to understand and optimize the key product KPIs</li><li>Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products</li><li>Conduct data analysis to make product recommendations and design A/B experiments</li><li>Partner with Product and Engineering teams to solve problems and identify trends and opportunities</li><li>Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations</li></ul> Qualifications <ul><li>Quantitative BS or MS degree (Computer Science)</li><li>2+ years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib</li><li>Experience with articulating product questions and using statistics to arrive at an answer</li><li>Experience with scripting in SQL - extracting large data sets and design of ETL flows</li><li>Work experience in an inter-disciplinary/cross-functional field</li><li>Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation</li><li>Distinctive problem-solving skills and impeccable business judgment</li><li>Capable of translating analysis results into business recommendations</li></ul> Compensation and Benefits:Base Salary Range: $145,000 - $195,000 In accordance with applicable law, the above salary range provided is PubMatic’s reasonable estimate of the base salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units and a competitive benefits package.

Job Description: Responsibilities: Skills required :<ul><li>Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing. A solid knowledge in the principles of computer science is desired.</li><li>Good experience on software design and architecture.</li><li>Good experience in building complex and scalable solutions.</li><li>Ability to find optimal solutions and innovative ideas.</li><li>Excellent experience in C/C++, Linux/UNIX environment. Good to have experience on GO language.</li><li>Excellent problem solving skills.</li><li>Knowledge of OS and working experience on system programming (multi-threading, multi-processing, memory management)</li><li>Troubleshoot any issues with existing features, live on production.</li><li>Ability to write clean, modular and loosely coupled code</li><li>Ability to understand end-to-end product functionality.</li><li>Working knowledge of scripting Perl/Python/Shell.</li><li>Working experience in databases, preferably MySQL.</li><li> </li></ul>Roles and responsibilities:<ul><li>Research, learn, design and build highly reliable, available and scalable platforms.</li><li>Use best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work</li><li>Demonstrated ability to self direct and work independently.</li><li>Demonstrate work ownership and focus to do deliver on time.</li><li> Be the owner of one or more functionality module and point of contact for it.</li><li>Perform code and design reviews for code implemented by peers or as per the code review process.</li><li>Work with teams to achieve desired goals.</li><li>Demonstrate timely and excellent verbal and written communication skills.</li><li>Willing to go extra-mile to achieve greater results</li></ul>

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Pubmatic Jobs

Senior Software Engineer Big Data Engineer In Machine LearningMay 10, 2024

Sr Machine Learning EngineerApril 28, 2024

Sr Machine Learning EngineerApril 23, 2024

Senior Product Data AnalystApril 22, 2024

Sr Machine Learning EngineerApril 20, 2024

Senior Software EngineerApril 20, 2024