Lead Member of Technical Staff - AI Research

Salesforce
Palo Alto
Full timeUSD 148,500 - 223,900 annuallyFunction: Research & Scientific (R&D)Skills: ["Strategic thinking","Customer engagement","Collaboration","Critical evaluation","Bias to action"]

Design, implement, and iterate agentic AI systems that integrate with customer workflows, creating new solutions and product opportunities. You’ll use strong engineering fundamentals and deep ML expertise to build production-grade software, orchestrate complex AI-agent systems, and maintain shared system context. Responsibilities include evaluating human/AI-generated code for correctness, quality, security, and performance, and deploying ML systems using modern cloud and container tooling.

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FursaFursa
Salesforce
Salesforce
1 month ago

Lead Member of Technical Staff - AI Research

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Design, implement, and iterate agentic AI systems that integrate with customer workflows, creating new solutions and product opportunities. You’ll use strong engineering fundamentals and deep ML expertise to build production-grade software, orchestrate complex AI-agent systems, and maintain shared system context. Responsibilities include evaluating human/AI-generated code for correctness, quality, security, and performance, and deploying ML systems using modern cloud and container tooling.
Location: Palo Alto
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and iterate agentic AI systems in collaboration with engineers, product managers, and solution engineers.
  • •Build and ship secure, optimized, production-grade software with AI as a core part of the development workflow.
  • •Design and orchestrate complex systems where AI agents integrate into human workflows.
  • •Contribute to building and maintaining shared system context (system designs, constraints, and standards).
  • •Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

Pay and Benefits

Salary: USD 148,500 - 223,900 annually
Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •Exceptional engineering skills with strong software engineering fundamentals (data structures, algorithms, system design).
  • •Deep ML knowledge with hands-on experience implementing and debugging training, evaluation, and inference pipelines.
  • •Strong proficiency in Python and solid experience with C++ and/or Java for building production-grade software.
  • •Practical experience with LLMs and agentic workflows, including tool use, planning, memory, and multi-step reasoning.
  • •Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure) and familiarity with distributed training or inference.
Experience:AI-firstLLM systemsAgentic AIMachine learningProduction software
Skills:Strategic thinkingCustomer engagementCollaborationCritical evaluationBias to action
Tech Stack:PythonC++JavaLLMsAgentic workflowsDockerAWSGCPAzureClaude CodeGitHub CopilotCodexCursorMulti-step reasoning

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
Glassdoor
Glassdoor: 4.1
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