Full-Time
Staff AI Scientist
Posted on 10/5/2025
Palo Alto Networks
10,001+ employees
Firewall and cloud security provider
No salary listed
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA
In Person
 AI & Machine Learning (2) |
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- 8+ years in software engineering, with 5+ years in Data science/AI/ML experience
- Experience deploying enterprise AI/ML systems
- Understanding of the AI lifecycle
- Experience with distributed systems and streaming data
- Hands-on experience with Generative AI and LLMs
- Proficiency in AI/ML frameworks and cloud platforms
- Strong programming skills (Python and C++)
- Excellent communication skills
- Masters/Bachelors degree in Computer Science or related field
- Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
- 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 systems
- 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 applications
- Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations
- Champion design standards and best practices for AI systems, guiding junior engineers
- Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
- Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
- Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring
- Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs
- PhD degree in Computer Science, Applied Mathematics, Machine Learning or related computation field
- Experience with open-source AI projects
- Prior technical lead role for AI/ML projects
- Familiarity with cybersecurity principles for AI
- Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn)
- Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact
- System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles
- Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts
- Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction
- Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams
- Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes
- Continuous Learning: Passion for staying up-to-date with the latest advancements in AI
Palo Alto Networks provides hardware, software, and subscription-based security solutions to protect organizations from cyber threats. Its products include network firewalls (Strata), cloud security (Prisma Cloud), and AI-powered security operations (Cortex), which work together to secure on-premises and cloud environments, manage identity and access, and detect threats. The company differentiates itself by offering an integrated, end-to-end security stack that combines hardware, software licenses, and ongoing services across enterprises, SMBs, and government clients. Its goal is to deliver comprehensive protection for networks, data, and applications as organizations move between data centers and cloud environments.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
2015
Simplify's Take
What believers are saying
- Q2 FY2026 revenue hit $2.594 billion with Next-Gen Security ARR up 33% YoY.
- CEO Arora bought $10M shares March 27, 2026, lifting stock 5% to $154.35.
- Portkey acquisition at $120M-$140M bolsters autonomous AI defenses in 2026.
What critics are saying
- CrowdStrike Falcon erodes NGFW share with 40% faster endpoint detection in 12-24 months.
- Zscaler captures 25% Prisma Access migrations via 30% cheaper SASE in 6-12 months.
- CyberArk integration fails, causing Fortune 100 breach and 20-30% stock drop in 12-18 months.
What makes Palo Alto Networks unique
- Prisma Cloud unifies proactive artifact scanning and reactive runtime protection across code to cloud.
- Cortex Cloud integrates Prisma CNAPP with cloud detection for real-time threat response.
- Prisma AIRS 3.0 discovers and protects agentic AI lifecycles launched April 2026.
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Benefits
FLEXBenefits
Healthcare
Wellness
Development
Financial: Traditional & Roth 401(k) options
Time Off
Other Perks
Growth & Insights and Company News
6 month growth
↓ -6%1 year growth
↓ -6%2 year growth
↓ -6%Wall Street strategists are viewing recent tech stock volatility as a buying opportunity following a two-week Iran ceasefire. The iShares Expanded Tech-Software Sector ETF has fallen 12% over the past month, despite the S&P 500 rising slightly. Ben Emons of FedWatch noted "a bit of an overreaction", whilst Mark Gibbens of Gibbens Capital said it's "time to jump in". Strategists highlighted opportunities in Palantir Technologies, Palo Alto Networks, and Oracle, despite recent share price declines. Nvidia has dropped from recent highs to trade at 21 times forward earnings. Tiffany McGhee of Pivotal Advisors praised Oracle's cash flow and enterprise contracts, whilst Gradient Investments' Keith Gangl called Palo Alto a rare opportunity to buy quality "on sale". Strategists cautioned that volatility remains, but emphasised AI as a powerful catalyst.
Palo Alto Networks has received a Buy initiation from Benchmark with a $200 price target, based on the company's trajectory towards achieving Rule of 60 profitability status in FY2026 through 22–23% revenue growth and 37% adjusted free cash flow margin. The cybersecurity firm reported Q2 FY2026 revenue of $2.594 billion, beating estimates, with non-GAAP EPS of $1.03 surpassing the 93 cent estimate. Next-Generation Security ARR reached $6.30 billion, up 33% year-over-year. Despite the stock trading down 10.33% year-to-date and below its 200-day moving average, 44 analysts rate it Buy or Strong Buy with a consensus target of $206.97. However, investors should consider the elevated 42x forward P/E valuation and integration risks from pending acquisitions.
Morgan Stanley identified five top cybersecurity stocks after attending the RSA Conference 2026: Microsoft, Palo Alto Networks, CrowdStrike, SailPoint and SentinelOne. The firm believes these companies are well-positioned to benefit from growing AI security demand as businesses deploy AI agents. Microsoft has 1.6 million security customers and a $20 billion revenue run rate, with analyst Keith Weiss setting a $650 price target, implying 80% upside. Analyst Meta Marshall gave Palo Alto Networks a $223 target (50% upside), noting its broad AI portfolio and advantageous position despite a 20% year-to-date decline. CrowdStrike received a $510 target (38% upside) and was upgraded to a top pick based on its strong endpoint franchise and AI-driven security capabilities.
Palo Alto Networks shares rose 5% on Monday to close at $154.35 following news that CEO Nikesh Arora purchased an additional stake worth $10 million in the company. According to a regulatory filing, Arora acquired 68,085 shares on 27 March at prices ranging from $146.87 to $147.48. The cybersecurity firm also unveiled Prisma AIRS 3.0, a new security platform designed to protect the entire agentic AI lifecycle. The product addresses security challenges in AI-powered enterprises by discovering AI agents across cloud environments, assessing risks continuously and providing real-time protection at scale. Palo Alto Networks said the platform enables enterprises to move beyond simply monitoring AI interactions to safely authorising autonomous execution, closing visibility gaps in AI operations.
Palo Alto Networks has received a buy rating from Freedom Capital Markets, which reduced its price target from $230 to $210 whilst maintaining its recommendation. The cybersecurity firm reported strong second-quarter fiscal 2026 results, with earnings of $1.03 per share beating estimates of $0.94, and revenue of $2.6 billion exceeding expectations of $2.58 billion. Freedom Capital attributed the performance to growing demand for cybersecurity platform integration and successful acquisitions of CyberArk and Chronosphere. The company's third-quarter forecast also surpassed expectations, driven by merger and acquisition activity. The analyst raised revenue forecasts but lowered diluted non-GAAP earnings per share estimates, citing the transitional period of merger integration. Palo Alto Networks provides cybersecurity solutions including firewalls, malware protection and cloud security.