C1X Inc.

Senior QA Engineer

Google

Research Scientist, Kaggle

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As a Research Scientist at Kaggle, you'll be working on the cutting edge of AI and ML research, specifically focusing on LLMs and Generative AI. You'll collaborate with other researchers to create the next generation of benchmarking and evaluation methods, and work with the Kaggle Competitions team to expand their platform to host LLM Benchmarks and community evaluations. You'll also be involved in developing and deploying new research methods and algorithms, and mentoring junior engineers. This is a unique opportunity to make a real impact on the future of AI, and to be part of a world-class research team.

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Publisher Intelligence Analyst

<div jscontroller="iYVHDc" class="DkhPwc" jsname="tIk9qd" data-id="119189764841579206" jsaction="A6AxKc:CXOOvf;"><div class="KwJkGe"><h3>Minimum qualifications:</h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience. </li>
<li>One or more scientific publication submission(s) for conferences, journals, or public repositories. </li>
<li>Coding experience in Python, JavaScript, R, Java, or C++. </li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>2 years of coding experience in Python, JavaScript, R, Java, or C++. </li>
<li>1 year of experience owning and initiating research agendas. </li>
<li>Experience with LLMs and GenAI models and methods.</li>
<li>Demonstrated expertise in bechmarking, evaluation, and empirical methods.</li>
</ul></div><div class="aG5W3"><h3>About the job</h3>As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will get to work on Kaggle’s Research priorities, help innovate in Kaggle’s leading platform for ML competitions, datasets, and models, and establish Kaggle Research as the leader in building earned trust through community validation of AI.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. </div><div class="BDNOWe"><h3>Responsibilities</h3><ul>
<li>Collaborate with other members of the Kaggle Research team to create the next generation of benchmarking and evaluation methods and structures for AI / ML, with a particular focus on LLMs and generative AI.</li>
<li>Work with the Kaggle Competitions team to expand Kaggle's competitions platform to host and run LLM Benchmarks and community evaluations.</li>
<li>Collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle.</li>
<li>Contribute to the development and deployment of new research methods and algorithms for AI and ML. Mentor and&nbsp;guide junior engineers on the team.</li>
<li>Publish research papers and present findings at conferences and workshops. Collaborate with engineering, design, and product leadership to improve Kaggle's product for Research&nbsp;priorities.</li>
</ul></div></div>

As a Senior QA Engineer, you will be a key member of the engineering team, responsible for ensuring the quality of our data products. You'll have the opportunity to work with the C-level staff, business stakeholders, product managers, and engineering teams to develop the next-generation customer data management and marketing software. You will be responsible for engaging with business stakeholders and the development team in a continuous flow in all phases of the software development cycle to identify and create test scenarios and test cases for functional and non-functional testing. You will also be responsible for planning, designing, and executing manual and automated testing throughout agile development iterations. Additionally, you will use the latest test automation tools/technologies to develop automation frameworks to improve test robustness and efficiency. You will document test strategy, test plans, and test cases based on requirements and take initiatives to continuously refine and improve test processes. You will also mentor other QA Engineers on the tools and techniques used by the team.

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 <div class="mt4">
 
 C1X Inc. is a fast-growing, global technology company headquartered in San Jose, US, with offices in Chennai and Tokyo. Our mission is to simplify and innovate in digital marketing by building unique and large-scale data products. We are a world-class engineering team that encompasses front end (UI), back end (API / Java / Node.js), mobile (Android/IOS), and Big Data engineering to deliver compelling products. You will be a key member of the engineering team, responsible for ensuring the quality of our data products. You’ll have the opportunity to work with the C-level staff, business stakeholders, product managers, and engineering teams to develop the next-generation customer data management and marketing software. Responsibilities Engage with business stakeholders and the development team in a continuous flow in all phases of the software development cycle to identify and create test scenarios and test cases for functional and non-functional testing. Plan, design, and execute manual and automated testing throughout agile development iterations. Use the latest test automation tools/technologies to develop automation framework to improve test robustness and efficiency. Document test strategy, test plans, and test cases based on requirements. Take initiatives and lead the effort to continuously refine and improve test processes. Mentor other QA Engineers on the tools and techniques used by the team. Qualifications Bachelor's degree in Computer Science, Engineering, or related field Minimum 5+ years of proven working experience in software quality assurance Expertise and applied knowledge of Quality Assurance and Testing best practices Passion for quality and great attention to detail Hands-on experience with both white box and black box testing Hands-on experience with automated testing tools such as UFT, Selenium, Protractor, JMeter Solid knowledge of SQL, data pipelines and scripting Hands-on experience with NoSQL databases like Elasticsearch Experience working in dockerized applications Experience working in an Agile/Scrum development process Excellent oral and written communication skills
 
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Senior QA Engineer

Senior QA Engineer

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