Sr Staff Machine Learning Engineer

Your Career

As a Sr Staff Data Scientist you will sit at the intersection of Data Engineering and Applied AI building the technical foundations that power our business operations. This is a high-impact hybrid role for a builder who refuses to be boxed inyou are just as comfortable writing complex SQL transformations as you are fine-tuning LLMs or building predictive models.

You wont just analyze data; you will build the pipelines that move it and the models that learn from it. Working within the AI & Data Analytics team you will solve ambiguous problems in Marketing Product and Post-Sales helping us shape the future of cybersecurity.

This is an in-office role 3 days/week in our HQ Santa Clara CA.

Your Impact

In this versatile role you will execute across the full data stack:

Data Engineering & Infrastructure

• Build & Maintain Pipelines: Design and implement efficient data pipelines (batch and real-time) to support analytics and modeling. You will ensure our data is clean accessible and reliable.

• Cloud Native Development: Leverage Google Cloud Platform (BigQuery Vertex AI) to create scalable datasets. You will manage the trade-offs between cost latency and data quality.

• Security & Process: Implement best practices for data security and code quality. You will participate in code reviews and contribute to our CI/CD processes to ensure production-grade deployments.

AI/ML & Business Intelligence

• End-to-End Modeling: Own the full lifecycle of machine learning projectsfrom problem definition and feature engineering to model training and deployment. Key use cases include Marketing Attribution Customer Churn and Propensity to Buy.

• Generative AI & Agents: Experiment with and implement Generative AI solutions. You will help build and evaluate AI agents (using tools like LangChain or LlamaIndex) to enable natural language interaction with our data.

• Data Storytelling: Dont just build the model; sell the solution. You will visualize your findings (using Looker Tableau or custom coding) to make complex data intuitive for business stakeholders.

• Collaboration: Partner closely with Marketing and Product teams to translate their business goals into technical data requirements.

Qualifications :

Your Experience 

• Education & Experience:

  • Bachelors degree with 5 years of related experience; OR

  • Masters degree with 3 years of related experience; OR

  • PhD in a quantitative field (Computer Science AI Statistics Physics etc.) with 1 years of experience (academic research applies).

• Core Tech Stack: Expert proficiency in Python (Pandas Scikit-learn) and strong complex SQL skills.

• Cloud Fluency: Experience working within cloud data ecosystems (GCP AWS or Azure). Familiarity with BigQuery and Vertex AI is a significant plus.

• Engineering Mindset: Unlike a pure academic researcher you have a builder mentality. You are willing to get your hands dirty with data cleaning pipeline construction and deployment logic.

• Dash-boarding Experience: Prior experience developing dashboards in Tableau/Looker or similar data viz platform.

• Communication: Demonstrated ability to explain technical concepts to non-technical audiences and visualize data effectively.

• Preferred 

• Generative AI Depth: Hands-on experience with LLMs RAG (Retrieval-Augmented Generation) or agentic frameworks.

• Marketing Analytics: Familiarity with Marketing Mix Modeling (MMM) Multi-Touch Attribution (MTA) or Lift Analysis.

• Advanced Modeling: Experience with causal inference time-series forecasting or optimization techniques.

• Visualization Tools: Experience building dashboards in Tableau Looker or Streamlit.

Additional Information :

The Team

Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks. 

Were 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.

Compensation Disclosure

The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $141000 - $228050/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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  .

Palo 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.

Remote Work :

No

Employment Type :

Full-time