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About the Role

Salesforce is seeking a hands-on Member of Technical Staff (MTS) — Machine Learning and Agent Engineering to contribute to their platform for Security AI and automated Agentic Trust workflows. The ideal candidate is a strong Python Software and Security Engineer with practical machine learning and Agentic experience who enjoys building reliable production systems and applying emerging Agentic AI technologies to real-world engineering and security problems.

Responsibilities

Architect, develop, and operate high-availability production AI and LLM agentic systems, applying tool calling, structured outputs, and state management in Python across public cloud environments.
Deliver reliable, well-tested AI services and APIs, turning emerging agentic patterns into robust software solutions.
Engineer high-throughput data-processing pipelines, feature workflows, and automated security intelligence systems capable of processing large-scale security telemetry seamlessly.
Operationalize machine learning models (classification, clustering, anomaly detection) to accelerate security automation and threat detection at Salesforce scale.
Take full end-to-end ownership of systems across implementation, testing, deployment, and live production operations.
Drive system resilience, observability, and performance through robust telemetry (logs, metrics, traces) and an attacker's mindset.

Requirements

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.

Skills

Python
Machine Learning
Agentic AI
LLM
Tool calling
Structured outputs
State management
Data-processing pipelines
Security intelligence
MLOps
Generative AI
PyTorch
scikit-learn
Hugging Face
XGBoost
Ray
Spark/PySpark
Kafka
Flink
Airflow
Docker
Kubernetes
Cybersecurity concepts
Security engineering
Security telemetry
Threat detection
Security operations
Adversarial AI/ML
AI red teaming
LLM/agent security
Attack simulation
Automated security evaluation
MITRE ATT&CK
OCSF

Location

Select cities within the San Francisco and New York City metropolitan area

Work Type

Full-time

Experience Level

3+ years of professional software engineering, machine learning engineering, or related development experience.

Salary/Compensations

$117,200 - $176,700 annually
$141,200 - $194,200 annually in select cities within the San Francisco and New York City metropolitan area

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM.
Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
We empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.
It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit.
The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.