Senior ML Engineer, DLP & Data Security — Hybrid

Palo Alto Networks; Santa Clara (CA); Hybrid; USD 147,000 - 225,500; Full time

Benefits offered by this job

FLEXBenefits wellbeing spending account

Mental health resources

Personalized learning opportunities

Job summary

A leading cybersecurity firm is seeking a Machine Learning Engineer to innovate cloud-delivered data security solutions. The role involves applying machine learning techniques to large data sets, working on challenging ML problems within a collaborative team. Candidates should hold an MS or PhD in a relevant field and possess significant experience in software development and machine learning. This position fosters innovation and offers competitive compensation alongside personalized growth opportunities. Located in Santa Clara, California, this role requires in-office presence three days a week.

Qualifications

• 7+ years industry experience in software development, minimum 5 years in machine learning or data science.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Strong understanding of ML Ops best practices.

Responsibilities

• Apply machine learning, NLP, and deep learning methods to large data sets.
• Architect end-to-end ML implementations for scalability and performance.
• Partner with product teams to define product roadmaps.

Skills

Machine Learning

NLP

Deep Learning

Data Security

Education

MS / PhD in Computer Science, Mathematics, or Statistics

Tools

GCP

AWS

Docker

PyTorch

TensorFlow

Job description

A leading cybersecurity firm is seeking a Machine Learning Engineer to innovate cloud-delivered data security solutions. The role involves applying machine learning techniques to large data sets, working on challenging ML problems within a collaborative team. Candidates should hold an MS or PhD in a relevant field and possess significant experience in software development and machine learning. This position fosters innovation and offers competitive compensation alongside personalized growth opportunities. Located in Santa Clara, California, this role requires in-office presence three days a week.