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Applied Research Engineer
SalesforceApplied Research Engineer building tools and pipelines for ML and AI efforts at Salesforce. Collaborating with research engineers to deploy cutting-edge technology in customer-facing applications.
Posted 7/13/2026full-timeSan Francisco • California, Illinois, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $148,500 - $260,100 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining production services, including APIs and cloud architectures, while ensuring high-quality code and adherence to security best practices. Proficient in gathering end-user requirements and delivering effective presentations.
Highest-signal resume keywords
Python ProgrammingLinux ProficiencyCloud Deployment (AWS or GCP)Kubernetes ExperienceSecurity Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingLinux ProficiencyCloud Deployment (AWS)Cloud Deployment (GCP)KubernetesFull-Stack DebuggingSecurity Best PracticesUI DesignGraphic DesignCode Testing
Soft Skills
CollaborationPresentation SkillsRequirements Gathering
Tools & Technologies
APIsCloud ArchitecturesProduction ServicesMachine Learning ToolsAI Tools
Industry Keywords
Machine LearningArtificial IntelligenceEnd-User RequirementsScalable Architectures
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformKubernetesLinuxPython
About the role
Key responsibilities & impact- Work alongside other motivated and talented research engineers to bring cutting-edge theory into customer-facing practice
- Build tools and pipelines to support ML and AI efforts
- Design, build, deploy, and maintain production services, like APIs, UIs, agentic evaluators, and more
- Roll out scalable cloud architectures
- Help with end-user requirements gathering and executive presentations
Requirements
What you’ll need- Strong abilities with Python and Linux
- Experience with production cloud deployments like AWS or GCP
- Kubernetes is a plus
- Experience field-debugging full-stack deployments
- Solid understanding of security principles and best practices
- UI and graphic design sensibilities are a plus
- Author high-quality, low-cognitive-load, fully-tested code – with- and without- AI assistance
Benefits
Comp & perks- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program