Sr Director, Software Engineering (AIML)
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Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Your Career
You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to detect and remediate network issues discover threats provide intelligence and protect devices.
You have
- Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices while maintaining knowledge on industry innovations trends and practices
- Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains
- Role models and mentors who exemplify the best of Palo alto Networks culture - They do the right thing even when its hard treat challenges as a chance to learn and provide honest opinions so the team can improve
- Leaders who can communicate cogently with hands-on engineers as well as executives
Qualifications :
Your Experience
- M.S. or Ph.D degree in Computer Science Mathematics Statistics or related field or equivalent military experience required
- 10 years industry experience in Machine Learning techniques and data analytics
- 10 experience in design algorithms and data structures - Expertise with one or more of the following languages is must - Java Python Golang
- Proven leadership skills with an ability to deliver under tight deadlines
- Proven ability to collaborate with many cross-functional teams including Product Management and Design teams with an emphasis on end-to-end delivery
- Proven track record in solving difficult real world problems by applying Machine Learning techniques
- Experience with deep learning frameworks such as PyTorch and TensorFlow NLP Large Language Models Generative AI Langchain Transformer models or related areas is a big plus
- Experience with LLaMA is a big plus
- Thorough understanding of ML Ops best practices ability to design test measure algorithms/models and orchestrate - Experience working with Google Vertex AI platform will be a plus
- Excellent communication skills with the ability to influence at all levels of the organization
- A self driven individual contributor and an excellent team player
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/com-missioned roles) is expected to be between $221000/yr to $357500/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 :
No
Employment Type :
Full-time
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
Our enterprise security platform detects and prevents known and unknown threats while safely enabling an increasingly complex and rapidly growing number of applications. Come be part of the team that redefined the firewall industry and is now the fastest-growing security company in hi ... View more
