Principal Machine Learning Engineer (Cortex Xpanse)

Your Career

Were looking for a Principal Machine Learning Engineer to join Cortex Xpanse. We help protect the worlds most essential organizations by finding risks on the Internet that no one else can find. 

Our team is responsible for some core products which allows us to attribute Internet assets to customer networks using a human-in-the-loop machine learning system while turning trillions of Internet data points into critical cybersecurity insights. The Asset Attribution ML-powered system helps provide customers with the worlds most accurate view of their Internet-facing digital assets.

In this role you will be an integral part of a group of Software and ML engineers that continuously surveys petabytes of data to find risks online and protect some of the worlds most important and relied upon organizations from malicious software and hackers. You will directly contribute to our mission by building AI/ML systems that increase the effectiveness of our security products and you will directly work with stakeholders to define design and implement improvements to our software.

You will be a technical leader within the team with responsibility for mentoring and supporting your team members developing features from end-to-end and supporting our systems in production. Youll leverage your data and software engineering knowledge to build new features deploy data-driven automations and ultimately augment our teams with ML-assisted workflows.

Your Impact

• Prototype build and improve AI systems and ML models including large language model (LLM) and generative AI applications to automate and enhance team workflows

• Strengthen infrastructure for data ETL model training and lifecycle MLOps batch and real-time processing and inference

• Mentor and coach other ML engineers on developing fine-tuning and evaluating both traditional and generative AI models

• Work directly with security professionals who use your software and AI systems every day to help them be more effective and improve the quality of their work

• Develop feature engineering data pipelines and transformations to deliver reliable data for model training and LLM inference

• Measure and refine model performance through metrics-driven evaluations and continuous experimentation

• Deliver monitor and continually improve secure AI and ML systems in production including LLM-powered tools and automation features

Qualifications :

Your Experience 

• Experience with Python including delivering production-quality code and debugging in a production environment

• Expertise in one or more of:

  • MLOps expertise (e.g. Feature Store Model Serving Model Monitoring)

  • Data Engineering expertise (e.g. Airflow Apache Beam Dataflow SQL)

  • Designing and building applications powered by LLMs and generative AI (for example: retrieval-augmented generation intelligent search entity linking summarization conversational interfaces automated reasoning and code understanding)

  • Applying modern AI techniques including LLMs embeddings fine-tuning and prompt engineering using frameworks such as Hugging Face Transformers LangChain OpenAI API and PyTorch

• Experience operating ML systems in production environments 

• Conceptual thinking and creativity; you demonstrate an ability to consider various techniques to solve different modeling problems we face

• Ability to collaborate and to convey complex technical concepts to both technical and non-technical stakeholders

Additional Information :

The Team

Xpanse helps protect some of the worlds most important organizations by finding risks on the Internet that no one else can find. Your expertise will help define and secure the perimeters of the worlds largest and most consequential organizations in both the public and private sector.

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 $157200 - $254100/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 :

Yes

Employment Type :

Full-time