Sr Principal Engineer Software Gen AI
Sr Principal Engineer Software Gen AI
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1 Vacancy
Job Description
Your Career
We are seeking a Senior Principal Engineer (Tech Lead) to lead the design and delivery of high impact projects in Gen AI space. You will play a pivotal role in advancing our AI technology leveraging Generative AI LLMs and ML Ops to drive impactful solutions. As a technical leader you will lead highimpact projects mentor crossfunctional teams do stakeholder management and contribute to the strategic direction of our AIdriven initiatives.
Your Impact
You will work in a fast paced team to create and deliver new product and mission features that many customers use on a daily basis
You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business
Design and development of workflow frameworks using AI/ML with result collection and visualization monitoring tools
Creation and delivery of training materials
At Palo Alto Networks Sr Principal Engineers are:
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 goto 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 handson 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
15 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 crossfunctional teams including Product Management and Design teams with an emphasis on endtoend 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
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
We are on a mission to build the industrys best Security large language model.
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 nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $170000 $270000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
#LITD1
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 :
Fulltime
Employment Type
Full-time
