Cisco ThousandEyes

Senior Site Reliability Engineer, Efficiency and Performance

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>

Senior Site Reliability Engineer focused on Efficiency & Performance for Cisco ThousandEyes. Responsibilities include optimizing AWS cost intelligence, managing infrastructure, and ensuring optimal resource utilization. Must have strong AWS experience, Infrastructure as Code skills, and knowledge of Prometheus and its ecosystem.

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 Who We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios. About The Role The Site Reliability Engineering team focused on Efficiency and Performance is responsible for driving AWS cost intelligence, managing the ThousandEyes infrastructure, and ensuring optimal resource utilization and performance. In this role, the Senior Site Reliability Engineer will play a crucial part in optimizing the tools, services, and infrastructure that support the ThousandEyes platform. What You'll Do The Site Reliability Engineering team dedicated to Efficiency and Performance is responsible for optimizing AWS cost intelligence, managing the ThousandEyes infrastructure, and ensuring resource intelligence and performance. By strategically managing cloud resources and infrastructure, this team enhances the overall performance and reliability of our services. The Senior Site Reliability Engineer in this role will lead efforts to optimize cloud expenditures, streamline infrastructure management, and ensure that all resources are utilized efficiently, driving continuous improvement in service reliability and performance. Think self service and participate in and contribute to improve our "Follow the sun" model incident response and on-call rotation. Qualifications <ul><li>Ability to design and implement scalable and well tested solutions, with focus on streamlining operations.</li><li>Strong hands on experience in cloud preferably AWS,</li><li>Strong Infrastructure as Code skills, ideally with Terraform and Kubernetes.</li><li>Previous experience in AWS cost management</li><li>Understanding of Prometheus and it’s ecosystem, including Alertmanager.</li><li>Ability to write high quality code in Python, Go, or equivalent languages</li><li>Good understanding of Unix/Linux systems, the kernel, system libraries, file systems, and client-server protocols. </li></ul>
Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. Message To Applicants Applying To Work In The U.S. When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees have <a class="app-aware-link " target="_blank" href="https://www.cisco.com/c/en/us/about/careers/we-are-cisco/benefits-and-perks.html" data-test-app-aware-link="">access</a> to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco pays at the standard rate of 1% of incentive target for each 1% revenue attainment against the quota up to 100%. Once performance exceeds 100% quota attainment, incentive rates may increase up to five times the standard rate with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
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