Sr Staff Machine Learning Engineer DLP
Sr Staff Machine Learning Engineer DLP
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1 Vacancy
Job Description
Your Career
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.
This role is located at our Santa Clara California headquarters campus.
We expect officebased employees to be in the office four days per week with one day working from where they choose. We believe being together facilitates casual conversations and those magic moments where we can work on issues and ideas informally. These moments build capability and deepen trusted relationships and allow our people to feel safe in taking risks and being disruptive. Like so many companies we are working through the details and things could change . but in general if a role is deemed officebased we want our teams to be together four days per week.
Your Impact
- Develop AIdriven solutions: Apply stateoftheart machine learning (ML) natural language processing (NLP) and deep learning techniques including LLMs to analyze vast structured and unstructured datasets classify documents extract insights and detect nuanced patterns
- Enhance AI accuracy & reliability: Leverage the latest advances in deep learning and NLP to build scalable models that optimize precision minimize false positives/negatives and improve the overall product experience
- Lead endtoend ML implementation: Architect and own machine learning pipelines optimizing for scalability efficiency and maintainability while ensuring seamless integration with production systems
- Drive ML innovation & best practices: Act as a technical leader championing ML best practices experimentation and deployment strategies across teams
- Identify highimpact opportunities: Discover novel ways to apply AI/ML for solving complex data security and privacy challenges shaping a highvalue roadmap that scales impact for customers
- Collaborate with crossfunctional teams: Partner with Product Engineering and Business teams to align ML advancements with strategic goals driving innovation in Data Security and Data Loss Prevention (DLP) solutions
Qualifications :
Your Experience
- MS / PhD in Computer Science Mathematics Statistics or a related field or equivalent military experience
- 5 years of industry/academic experience in software development with a minimum of 2 years as a machine learning engineer data scientist or LLM specialist
- Strong programming skills with experience in distributed cloud systems (GCP AWS Azure) and containerization technologies like Docker and Kubernetes
- Proven ability to solve realworld problems using machine learning deep learning and generative AI techniques
- Experience with deep learning frameworks (PyTorch TensorFlow) NLP models (transformers BERT GPT) RetrievalAugmented Generation (RAG) and Large Language Models (LLMs)
- Proficiency in ML algorithms such as XGBoost CatBoost CNNs LSTMs and NLP frameworks like spaCy Gensim NLTK and tokenization techniques (Byte Pair Encoding WordPiece SentencePiece etc.
- Strong understanding of ML Ops model evaluation finetuning prompt engineering and deployment best practices
- Handson experience building and optimizing LLMpowered applications vector search systems and multimodal AI solutions
- A get stuff done attitude thriving in a fastpaced collaborative environment while leading cuttingedge AI initiatives
- Passion for security and AIdriven threat detection with prior experience in NLP cybersecurity or data protection products a plus
Additional Information :
The Team
Our engineering team is at the core of our products and 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 the 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 nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $136000/YR $221000/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.
Is role eligible for Immigration Sponsorship: Yes
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
