Senior Staff Machine Learning Engineer

Our MissionAt Palo Alto Networks everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life.Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.Who We AreWe take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a fewAt Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.Job DescriptionYour CareerAs a Senior Staff AI Engineer for Enterprise AI Solutions, you will be part of a team responsible for hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). This role demands deep technical expertise, a strong ability to solve complex problems, and leveraging our Enterprise AI Platform to deliver measurable business impactYour ImpactAI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applicationsPlatform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systemsSystem Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applicationsArchitectural Best Practices: Best practices & design principles of software & AI architectureCross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutionsResponsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoringInnovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMsQualificationsYour Experience7+ (Bachelors) / 5+ (Masters) years in software engineering, with 2+ years in AI/ML solutions or platform developmentHands-on expertise in building and deploying enterprise-grade AI/ML systemsUnderstanding of the AI lifecycle: data, training, evaluation, deployment, and monitoringExperience with distributed systems, streaming data, data lakes, and real-time decision enginesGenerative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systemsProficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML)Strong programming skills (Python, Java)Excellent communication skillsBachelor's or Master's degree in Computer Science or related fieldSystem-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performancePreferred QualificationsMaster's / Bachelors degree in Computer Science, Machine Learning, or a related technical field or equivalent military experience requiredPrior experience in working with AI/ML systems, distributed systemsFamiliarity with cybersecurity principles as they apply to AI systemsThe Ideal CandidateYou are a highly skilled and passionate AI engineer who thrives on solving challenging problems and building robust, impactful solutions. You are enthusiastic about developing AI/ML solutions at scale. You are eager to translate business needs into innovative AI solutions and contribute to the company's digital transformation.Additional InformationThe TeamWorking at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.Our CommitmentWe're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.All your information will be kept confidential according to EEO guidelines.