Sr. Staff Machine Learning Engineer (DLP)

Your Career

Bring your machine learning and applied research expertise to build the next generation of cloud-delivered data security solutions. As a Machine Learning Engineer you will work on large-scale ML systems that enable organizations to discover classify and protect highly sensitive data across SaaS applications. You will be part of a fast-paced innovation-driven team that tackles complex real-world problems develops novel algorithms and deploys them into production at scale.

Our team operates at the intersection of ML research and production engineering delivering customer-facing capabilities that directly impact data protection compliance and privacy. You will have the opportunity to work on cutting-edge ML NLP and Generative AI problems contribute to patented technologies and see your work deployed to millions of users.

This role is located at our dynamic Santa Clara California headquarters campus and in office 3 days a week.

Your Impact

• Apply machine learning NLP and deep learning methods to massive structured and unstructured data sets classify documents perform context analysis and extract complex patterns
• Leverage the latest advances in Deep Learning and NLP to develop scalable solutions to improve the overall product experience by ensuring high efficacy low false positive and false negative rates
• Architect and end-to-end ownership of ML implementations while optimizing for scalability performance and code quality
• Be a Technical Leader to develop and drive ML best practices and processes across the board
• Discover new opportunities to apply ML/NLP to solve critical problems and design a high-value roadmap that scales the impact of ML for customers
• Partner with Product and Business teams to ideate collaborate and define product roadmaps that advance our ecosystem of Data Security and DLP offerings

Qualifications :

Your Experience 

• MS / PhD in Computer Science Mathematics Statistics or related field or equivalent military experience required
• 7 years industry / academia experience in software development minimum 5 years as a machine learning engineer or a data scientist
• Be an excellent programmer - experience with distributed cloud systems like GCP or AWS and containers like Docker a plus
• Proven track record in solving difficult real world problems by applying Machine Learning techniques
• Experience with deep learning frameworks such as PyTorch and TensorFlow Computer Vision NLP Large Language Models Generative AI or related areas is a big plus
• Have a strong working knowledge of machine learning algorithms such as XGBoost/CatBoost CNNs LSTMs NLP frameworks like SpaCY Gensim NLTK Byte Pair Encoding schemes etc.
• Thorough understanding of ML Ops best practices ability to design test measure algorithms/models and orchestrate and experience working with Airflow or Kubeflow
• Experience with time series analysis and anomaly detection techniques for identifying unusual patterns and potential security threats in data streams.
• Have a get stuff done attitude enjoy being hands-on and working alongside the team to solve the most pressing problems in a fast-paced collaborative environment
• Nice to Have - Passion for security prior experience in NLP and/or security products or services

Additional Information :

The Team

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 dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. 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. 

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: $147000/YR - $225500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Is role eligible for Immigration Sponsorship: Yes

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.

Is role eligible for Immigration Sponsorship: Yes

Remote Work :

No

Employment Type :

Full-time