Senior Machine Learning Engineer (DLP)

Key Skills

Algorithms, AWS, CNNs, Computer Vision (CV), Deep Learning, Design, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, PyTorch, spaCy, Statistics, TensorFlow

Job Description

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.

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
• Work with innovative co-workers 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

Your Experience

• MS / PhD in Computer Science, Mathematics, Statistics, or related field or equivalent military experience required
• 5+ years industry / academia experience in software development, minimum 2 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
• Enjoy 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 working knowledge of machine learning algorithms such as XGBoost/CatBoost, CNNs, LSTMs, NLP frameworks like SpaCY, Gensim, NLTK, Byte Pair Encoding schemes, etc.
• Understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate
• 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
• Passion for security, prior experience in NLP and/or security products or services

The Team

To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about creating products to solve problems no one has tackled before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Our engineering team is provided with an unrivaled opportunity to build the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people products can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t 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 accommodations@paloaltonetworks.com .

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.

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 $119,700/yr to $193,600/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here .