Member of Technical Staff — Machine Learning & Agent Security Engineering

Salesforce
Bellevue, San Francisco
Workplace: OnsiteFull timeUSD 117,200 - 176,700 annuallyFunction: Data Science & Machine LearningSkills: ["End-to-end ownership","Problem-solving","Communication","Code review","Collaboration"]

Build and operate high-availability AI and LLM agentic systems for security engineering, including tool calling, structured outputs, and state management in Python. Create resilient data-processing pipelines and automated security intelligence workflows to process large-scale security telemetry and power threat detection. Take end-to-end ownership across implementation, testing, deployment, monitoring, and operational debugging with logs, metrics, and traces.

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FursaFursa
Salesforce
Salesforce
12 hours ago

Member of Technical Staff — Machine Learning & Agent Security Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and operate high-availability AI and LLM agentic systems for security engineering, including tool calling, structured outputs, and state management in Python. Create resilient data-processing pipelines and automated security intelligence workflows to process large-scale security telemetry and power threat detection. Take end-to-end ownership across implementation, testing, deployment, monitoring, and operational debugging with logs, metrics, and traces.
Location: Bellevue, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect, develop, and operate high-availability production AI and LLM agentic systems using tool calling, structured outputs, and state management in Python.
  • •Deliver reliable, well-tested AI services and APIs by turning agentic patterns into robust software solutions.
  • •Engineer scalable data-processing pipelines and automated security intelligence systems to process large-scale security telemetry.
  • •Operationalize ML models (classification, clustering, anomaly detection) to accelerate security automation and threat detection.
  • •Own systems end-to-end across implementation, testing, deployment, and live production operations, improving resilience and observability.

Pay and Benefits

Salary: USD 117,200 - 176,700 annually
Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •3+ years of professional software engineering, machine learning engineering, or related development experience.
  • •Strong hands-on programming skills in Python and solid software engineering fundamentals (APIs, testing, debugging, code reviews).
  • •Experience building and operating production software/services and data-processing or ML applications.
  • •Practical ML fundamentals and experience applying ML using common libraries or frameworks.
  • •Understanding of development practices including source control, automated testing, CI/CD, monitoring, and operational debugging.
Skills:End-to-end ownershipProblem-solvingCommunicationCode reviewCollaboration
Tech Stack:PythonLLMAgenticTool/function callingStructured outputsState managementPublic cloudAPIsCI/CDCICDLogsMetricsTracesPyTorchScikit-learnHugging FaceXGBoostRaySpark

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
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Glassdoor: 4.1
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