Senior Machine Learning & Agent Security Engineer

Salesforce; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Salesforce is seeking a hands-on Member of Technical Staff for Machine Learning & Agent Security Engineering. You will architect, develop, and operate high-availability AI/LLM agentic systems and scalable security intelligence tools.

You will own end-to-end development, deployment, and production operations, delivering reliable AI services while advancing agentic workflows and security capabilities at Salesforce scale.

Qualifications

• 3+ years of professional software engineering, machine learning engineering, or related development experience.
• Strong hands-on programming skills in Python.
• Solid software engineering fundamentals, including data structures, APIs, testing, debugging, code reviews, and maintainable software design.
• Experience building and operating production software, services, data-processing systems, or ML applications.
• Experience solving implementation-level challenges involving scale, performance, reliability, data volume, or concurrency.
• Practical understanding of machine learning fundamentals and experience applying ML using common libraries or frameworks.
• Familiarity with Generative AI and LLM technologies and how they can be incorporated into software applications.
• Experience working with cloud-based, distributed, or data-intensive applications.
• Understanding of software development practices including source control, automated testing, CI/CD, monitoring, and operational debugging.
• Ability to troubleshoot software using logs, metrics, traces, and other telemetry.
• Ability to work relatively independently within established technical direction and collaborate effectively with other engineers.
• Clear written and verbal communication skills.

Responsibilities

• Architect, develop, and operate high-availability production AI and LLM agentic systems across cloud environments.
• Deliver reliable, well-tested AI services and APIs for agentic workflows.
• Engineer high-throughput data-processing pipelines and automated security intelligence systems.
• Operationalize ML models to accelerate security automation and threat detection at scale.
• Take end-to-end ownership of systems from implementation to live production operations.
• Drive system resilience, observability, and performance through telemetry and robust design.

Skills

Python programming

Software engineering

Machine learning engineering

APIs

Testing

CI/CD

Observability

Distributed systems

Communication

Tools

Docker

Kubernetes

PyTorch

scikit-learn

Hugging Face

Spark

Kafka

Ray

Airflow

Job description

Salesforce is seeking a hands-on Member of Technical Staff for Machine Learning & Agent Security Engineering. You will architect, develop, and operate high-availability AI/LLM agentic systems and scalable security intelligence tools.

You will own end-to-end development, deployment, and production operations, delivering reliable AI services while advancing agentic workflows and security capabilities at Salesforce scale.