Sr. Staff Machine Learning Engineer (DLP) jobs in United States
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Palo Alto Networks · 7 hours ago

Sr. Staff Machine Learning Engineer (DLP)

Palo Alto Networks is a cybersecurity company dedicated to protecting the digital way of life. They are seeking a Sr. Staff Machine Learning Engineer to build cloud-delivered data security solutions, leveraging machine learning and applied research to tackle complex real-world problems and develop innovative algorithms.

Agentic AICloud SecurityCyber SecurityNetwork SecuritySecurity
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Growth Opportunities
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H1B Sponsorednote

Responsibilities

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

Qualification

Machine LearningDeep LearningNatural Language ProcessingCloud Systems (GCP/AWS)ProgrammingML OpsTime Series AnalysisCollaborationProblem SolvingHands-on Attitude

Required

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

Preferred

Passion for security, prior experience in NLP and/or security products or services

Benefits

Restricted stock units
Bonus

Company

Palo Alto Networks

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Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.

H1B Sponsorship

Palo Alto Networks has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (579)
2024 (482)
2023 (341)
2022 (452)
2021 (493)
2020 (235)

Funding

Current Stage
Public Company
Total Funding
$65M
Key Investors
Icon VenturesLehman HoldingsGlobespan Capital Partners
2012-07-20IPO
2008-11-03Series C· $10M
2008-08-18Series C· $27M

Leadership Team

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Helmut Reisinger
CEO EMEA
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Nikesh Arora
Chairman CEO
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Company data provided by crunchbase