Machine Learning Engineer, Palo Alto Networks
$129.1-208.8k
More information about location
Leading cybersecurity protections and software platform
Be an early applicant
Leading cybersecurity protections and software platform
1001+ employees
Be an early applicant
$129.1-208.8k
More information about location
1001+ employees
Company mission
To be the cybersecurity partner of choice, protecting our digital way of life.
Role
Who you are
- MS or PhD in Machine Learning, Computer Science, Data Science, or a related field, with graduation expected between December 2025 and July 2026
- Proficiency in at least one programming language such as Python, Java, or Golang
- Experience applying supervised and/or unsupervised machine learning algorithms on various data types
- Extensive knowledge of ML frameworks and libraries (e.g., Scikit-learn, MLlib, Tensorflow, Keras, Kubeflow)
- Experience with big data technologies and infrastructure, such as Hadoop or Spark
- Preferred Qualifications
- Working knowledge of Natural Language Processing (NLP) techniques or document classification
- Familiarity with advanced machine learning architectures like transformers and convolutional networks
- Experience with cloud platforms (GCP, AWS) and container-based development (Docker, Kubernetes)
- Ability to design, implement, and deploy system components, including regression and integration testing
What the job involves
- As a Machine Learning Engineer on our Internet Security Research Team, you will be a key innovator transforming ideas into products for our next-generation security platform
- You will work with data scientists and security researchers to implement projects that detect and defend against emerging web security threats
- This role is part of our dedicated 2026 New Hire cohort, with an anticipated start date in August 2026
- Perform in-depth data analysis to deeply understand security data and the threat domain
- Design, train, and evaluate machine learning algorithms to significantly improve the analytical performance of threat detection models
- Build and productionize machine learning models and develop the distributed systems that utilize them to analyze and categorize enormous volumes of URLs
- Design and build robust, scalable machine learning systems, carefully balancing cost with model performance
- Establish automated training pipelines and develop data analytics tools to incrementally enhance model performance on a growing dataset
- Proactively collaborate with data scientists, security researchers, and Product Managers to gather requirements, design, and implement systems
- Challenge existing approaches curiously and positively to simplify complex systems and improve efficiency
- Work effectively with other engineers and SREs on release, deployment, and operational processes, ensuring alignment and accountability
Our take
With cyber threats evolving at lightening speed, businesses need robust solutions to protect their data and infrastructure. And the global cybersecurity market is projected to grow significantly, driven by increasing cyberattacks and the adoption of digital transformation initiatives. Because of this, companies are seeking security platforms that can address these challenges efficiently.
That's where Palo Alto Networks steps in, a frontrunner in the cybersecurity arena. It offers a suite of AI-powered security solutions designed to safeguard enterprises across various sectors. Its platforms, such as Cortex XSIAM and Prisma AIRS, integrate advanced threat detection, zero trust architecture, and real-time response capabilities so organizations are ready to manage and mitigate risks.
Its leadership is evident too, with impressive growth and strategic partnerships. Recently the company surpassed $1.5M in sales through the Google Cloud Marketplace, highlighting the demand for its innovative security solutions. Additionally, a collaboration with AT&T aims to enhance cybersecurity offerings, further solidifying its position in the market.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2022
$34m
SERIES A
May 2022
$11m
SEED
Total funding: $45m
Company benefits
- Healthcare: We value your health and provide options so you can choose what best supports your lifestyle and personal health goals. Various nationwide plans — including Blue Shield of California, Kaiser Permanente, Delta Dental, VSP, and more — are available to you and your family. Our providers offer the flexibility you want and the coverage you need
- Wellness: With a large on-site gym and daily, instructor-led exercise classes at HQ in Santa Clara, Palo Alto Networks actively supports employee fitness. Our juice bar, Gym & Juice, features fresh juice blends, a quick and nutritious option pre- or post-workout. And our ongoing wellness speaker series highlights the latest trends in health and wellness
- Development: Professional development is serious business at Palo Alto Networks, where the Talent Development team offers 25+ courses to help employees boost their careers and develop leadership capability
- Financial: Most roles are eligible for equity grants, and we now offer new hires a quarterly vesting schedule right away. We want you to be fairly compensated and rewarded as soon as you make an impact – on our team, that happens immediately! And because we consider every employee a stakeholder in our long-term success, we offer an Employee Stock Purchase Plan (ESPP) with a 24-month lookback. From life insurance to health savings accounts, we provide ways to help you protect and grow your wealth. Palo Alto Networks offers both traditional and Roth 401(k) options, along with a company match of 50% to a max annual amount of $1,000
- Time Off: In addition to paid corporate holidays, Flexible Time Off programs empower our employees to balance their work schedules with personal time off. We offer 12 weeks of full pay for medical leave and 6 weeks of full pay for parental leave. As a company with strong ties to the military and veterans, we also offer 26 weeks of full pay for military leave
- Perks: Our corporate discount program provides employees with significant discounts on merchandise, travel and entertainment. We offer many on-site perks at headquarters, including cafeterias, fuel service, dry cleaning service, EV charging stations, and a company store. We also provide complimentary drinks, fresh fruit, and snacks in break rooms across our campus to help everyone power through the day. Life at Palo Alto Network
Company HQ
Santa Clara, CA
Leadership
Nikesh Arora
(CEO & Chairman)Previously the President and COO at SoftBank, CBO at Google, and CMO at T-Mobile.
Nir Zuk
(Founder & CTO)Previously CTO at NetScreen Technologies, which was acquired by Juniper Neworks in 2004. They also co-founded OneSecure where they served as CTO and was the Principal Engineer at Check Point Software Technologies.
Lee Klarich
(CPO)Initially joined Palo Alto in 2006 as the EVP of Product Management and became CPO in 2018. Prior to this, they were the Director of Product Management at Juniper Networks and a Product Line Manager at NetScreen Technologies.
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