Principal Machine Learning Engineer, Palo Alto Networks
DLP
$136-215k
More information about location
3-4 days a week in office (Santa Clara, CA)
Leading cybersecurity protections and software platform
Be an early applicant
Leading cybersecurity protections and software platform
1001+ employees
Be an early applicant
$136-215k
More information about location
3-4 days a week in office (Santa Clara, CA)
1001+ employees
Company mission
To be the cybersecurity partner of choice, protecting our digital way of life.
Role
Who you are
- MS / PhD in Computer Science, Mathematics, Statistics, or a related field, or equivalent military experience
- 5+ years of industry/academic experience in software development, with a minimum of 2 years as a machine learning engineer, data scientist, or LLM specialist
- Strong programming skills with experience in distributed cloud systems (GCP, AWS, Azure) and containerization technologies like Docker and Kubernetes
- Proven ability to solve real-world problems using machine learning, deep learning, and generative AI techniques
- Experience with deep learning frameworks (PyTorch, TensorFlow), NLP models (transformers, BERT, GPT), Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs)
- Proficiency in ML algorithms such as XGBoost, CatBoost, CNNs, LSTMs, and NLP frameworks like spaCy, Gensim, NLTK, and tokenization techniques (Byte Pair Encoding, WordPiece, SentencePiece, etc.)
- Strong understanding of ML Ops, model evaluation, fine-tuning, prompt engineering, and deployment best practices
- Hands-on experience building and optimizing LLM-powered applications, vector search systems, and multimodal AI solutions
- A “get stuff done” attitude, thriving in a fast-paced, collaborative environment while leading cutting-edge AI initiatives
- Passion for security and AI-driven threat detection, with prior experience in NLP, cybersecurity, or data protection products a plus
What the job involves
- As a member of our team, you will be shaping the future of cybersecurity
- We are looking for an exceptionally talented Machine Learning Engineer to be part of a fast paced team that uses Machine Learning to build innovative products for organizations to easily discover, classify, and protect highly sensitive data across SaaS applications
- Our team finds solutions to hard problems, is innovative in finding data, builds models, and puts them into production. We produce several patents every year
- Develop AI-driven solutions: Apply state-of-the-art machine learning (ML), natural language processing (NLP), and deep learning techniques including LLMs to analyze vast structured and unstructured datasets, classify documents, extract insights, and detect nuanced patterns
- Enhance AI accuracy & reliability: Leverage the latest advances in deep learning and NLP to build scalable models that optimize precision, minimize false positives/negatives, and improve the overall product experience
- Lead end-to-end ML implementation: Architect and own machine learning pipelines, optimizing for scalability, efficiency, and maintainability while ensuring seamless integration with production systems
- Drive ML innovation & best practices: Act as a technical leader, championing ML best practices, experimentation, and deployment strategies across teams
- Identify high-impact opportunities: Discover novel ways to apply AI/ML for solving complex data security and privacy challenges, shaping a high-value roadmap that scales impact for customers
- Collaborate with cross-functional teams: Partner with Product, Engineering, and Business teams to align ML advancements with strategic goals, driving innovation in Data Security and Data Loss Prevention (DLP) solutions
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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