Principal Machine Learning Engineer, Palo Alto Networks
DLP Detection
$157.2-254.1k
3 days a week in office (Santa Clara, CA)
Leading cybersecurity protections and software platform
Open for applications
Leading cybersecurity protections and software platform
1001+ employees
Open for applications
$157.2-254.1k
3 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
- We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment
- 4+ years of software/DevOps/ML engineering experience, with at least 3+ years focused specifically on advanced MLOps, ML Platform, or production ML infrastructure and 5+ yeas of experience building ML Models
- Deep expertise in building scalable, production-grade systems using strong programming skills (Python, Go, or Java)
- Expertise in leveraging cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) for ML workloads
- Proven hands-on experience in the ML Infrastructure lifecycle, including:Model Serving: (TensorFlow Serving, TorchServe, Triton Inference Server/TIS)
- Workflow Orchestration: (Airflow, Kubeflow, MLflow, Ray, Vertex AI, SageMaker)
- Mandatory Experience with Advanced Inferencing Techniques: Demonstrable ability to utilize advanced hardware/software acceleration and optimization techniques, such as TensorRT (TRT), Triton Inference Server (TIS), ONNX Runtime, Model Distillation, Quantization, and pruning
- Strong, hands-on experience with comprehensive CI/CD pipelines, infrastructure-as-code (Terraform, Helm), and robust monitoring/observability solutions (Prometheus, Grafana, ELK/EFK stack)
- Comprehensive knowledge of data pipelines, feature stores, and high-throughput streaming systems (Kafka, Spark, Flink)
- Expertise in operationalizing ML models, including model monitoring, drift detection, automated retraining pipelines, and maintaining strong governance and security frameworks
- A strong track record of influencing cross-functional stakeholders, defining organizational best practices, and actively mentoring engineers at all levels
- Unwavering passion for operational excellence, building highly scalable, and securing mission-critical ML systems
- MS/PhD in Computer Science/Data Science, Engineering
What the job involves
- Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity
- Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions
- We are looking for a Machine Learning Engineer to lead the design, development, and operation of production-grade machine learning infrastructure at scale
- In this role, you will architect robust pipelines, deploy and monitor ML models, and ensure reliability, reproducibility, and governance across our AI/ML ecosystem
- You will work at the intersection of ML, DevOps, and cloud systems, enabling our teams to accelerate experimentation while ensuring secure, efficient, and compliant deployments
- End-to-End ML Architecture and Delivery Ownership: Architect, design, and lead the implementation of the entire ML lifecycle. This includes ML model development and deployment workflows that seamlessly transition models from initial experimentation/development to complex cloud and hybrid production environments
- Operationalize Models at Scale: Develop and maintain highly automated, resilient systems that enable the continuous training, rigorous testing, deployment, real-time monitoring, and robust rollback of machine learning models in production, ensuring performance meets massive scale demands
- Ensure Reliability and Governance: Establish and enforce state-of-the-art practices for model versioning, reproducibility, auditing, lineage tracking, and compliance across the entire model inventory
- Drive Advanced Observability & Monitoring: Develop comprehensive, real-time monitoring, alerting, and logging solutions focused on deep operational health, model performance analysis (e.g., drift detection), and business metric impact
- Champion Automation & Efficiency: Act as the primary driver for efficiency, pioneering best practices in Infrastructure-as-Code (IaC), sophisticated container orchestration, and continuous delivery (CD) to reduce operational toil
- Collaborate and Lead Cross-Functionally: Partner closely Security Teams, and Product Engineering to define requirements and deliver robust, secure, and production-ready AI systems
- Lead MLOps Innovation: Continuously evaluate, prototype, and introduce cutting-edge tools, frameworks, and practices that fundamentally elevate the scalability, reliability, and security posture of our production ML operations
- Optimize Infrastructure & Cost: Strategically manage and optimize ML infrastructure resources to drive down operational costs, improve efficiency, and reduce model bootstrapping times
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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