It’s an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc. magazine’s Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies—and having fun along the way.We are looking for a Staff Data Scientist to join our Data Science team, reporting to the Director of Data Science. In this role, you will turn ideas into AI solutions by working with our Software Engineering and Product teams. We are embarking on the most transformative change in our business and technology history, and our Machine Learning (ML) Engineers are at the forefront of this evolution. By leading groundbreaking projects and initiatives, you have the unique opportunity to shape the way networks are configured, managed, and secured, making network security easy for our customers.You are the ideal candidate if you have a knack for implementing AI and ML solutions, you enjoy collaborating with engineers, product managers, and sales, and want to simplify networking and network security for our customers.What You’ll Do:Play a critical role in setting the direction and goals for our AI Ops and Generative AI efforts, focusing on project impact and ML system design Adapt standard machine learning methods to harness the full potential of cloud computing and GPUsLead the development of ML best practices and positively influence our engineering culture, fostering collaboration, feedback, and continuous improvementDevelop highly scalable classifiers and tools, using machine learning, data regression, and rules-based models, to address recommendation, classification, and optimization challengesSuggest, collect, and synthesize requirements, create a practical feature roadmap, and work in tandem with the Engineering team to deliver ML solutionsWhat You’ll Bring:Minimum 12 years of experience in software engineering or a relevant field, or 7 years of experience with a PhDMinimum 4 years of experience in machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, NLP, or related technical fieldsDemonstrated experience in developing machine learning models at scale, from inception to achieving business impactKnowledge of developing and debugging in both Spark and PythonProven experience in technical leadership, project ownership, and setting technical direction for teamsBachelor's degree in computer science, computer engineering, or a relevant technical fieldMaster’s degree or Ph.D. in computer science or related technical field preferredExposure to architectural patterns or large-scale software applications preferredWhat Success Looks Like:After six months, you will…Demonstrate a strong command of AI Ops and Generative AI technologies, with a clear understanding of how they contribute to our networking DDI and network security solutionsSuccessfully lead and deliver critical AIOps and Generative AI projects, showcasing your technical expertise and ability to drive excellence across teamsCollaborate effectively with data scientists, data engineers, and Product management, actively contributing to the development of innovative solutions for helping our customers in configuring, managing, troubleshooting, and securing their DDI infrastructureBe recognized as a go-to person for addressing complex online/production performance and evaluation issues, leveraging your in-depth knowledge of the interaction between machine learning systems and the surrounding network infrastructureAfter about a year, you will…Play a pivotal role in transforming our AI Ops and Generative AI capabilities, significantly advancing the way people connect around the world through our software and hardware offeringsDrive innovation and improvement in our AI Ops and Generative AI projects, resulting in the development of cutting-edge tools and scalable classifiers that set new industry standardsEstablish yourself as an expert in AI Ops and Generative AI within our organization, providing thought leadership and strategic insights to advance our transformative initiatives furtherWe’ve got you covered:In the spirit of pay transparency, we are excited to share our compensation philosophy. At Infoblox, we believe in paying for performance. You can expect our employment offers to take many factors into consideration, including but not limited to the location of the role, internal equity, applicable past experience, individual skill set, education, and professional certifications. Please keep in mind that the range mentioned is the base salary range for the role. The typical base salary range for this position is $151,300 - $228,030 plus corporate bonus.Our holistic benefits package includes coverage of your health, wealth, and wellness—as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. We have a strong culture and live our values every day—we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers.  Speaking of a great work environment, here are just a few of the perks you may enjoy, depending on your location…Onsite massages, clubs, farmers market, and fitness classesDelicious and healthy snacks and beveragesElectric vehicle charging stationsOutdoor amenities, seating, and courtyard BBQDog park and pet-friendly programsNewly remodeled offices with state-of-the-art amenitiesWhy Infoblox? We’ve created a culture that embraces diversity, equity, and inclusion and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportive environment that focuses on continuous learning and embraces change. So, whether you’re a software engineer, marketing manager, customer care pro, or product specialist, you belong here, where you will have the opportunity to grow and develop your career. Check out what it’s like to be a Bloxer. We think you’ll be excited to join our team.

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