Sr Staff Machine Learning Engineer (Internet Security)
Role details
Job location
Tech stack
Job description
You will build machine learning models and develop big data and distributed systems that use the models to analyze and categorize an enormous amount of URLs. You will be a key person in transforming ideas into products which are part of the next generation security platform. The Internet Security Research Team is responsible for innovating new security techniques. The Internet Security Research Team is responsible for innovating new security techniques.
This role is located at our dynamic Santa Clara California headquarters campus, and required in office 3 days a week. This is not a remote role.
Your Impact
- Build and maintain threat research systems for both customer-facing products and internal infrastructures.
- Work closely with team members and Product Managers to collect product requirements, create design drafts, and develop functional specifications.
- Implement solutions by adhering to software development guidelines and best practices.
- Work with SREs on production release/deployment and monitoring.
Requirements
Your Experience
- BS/MS in Computer Science, Computer Engineering, or related field and 4+ years experience.
- Creative thinker and team player, with good communication skills and a desire to make differences.
- Experience in Golang or Java. Experience in Python.
- Aptitude to design, implement, and deploy backend services and data pipelines; conduct regression and integration tests.
- Knowledge of in cloud platforms (GCP, AWS, Azure) and container-based development (Docker, Kubernetes).
- Knowledge of web development technologies such as Javascript or Typescript is a plus
- Experience in Linux OS and shell scripting.
- Experience in database systems such as MongoDB, MySQL, or similar.
- Experience with Big data, distributed systems, and ETL pipelines such as Spark.
- Have basic knowledge of Machine Learning and Web Content Classification.
- Hands-on and humble attitude, self-directed and passion in cybersecurity.
Benefits & conditions
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 the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here (https://benefits.paloaltonetworks.com/) .
$126,000.00 - $204,500.00/yr
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.