Applied Research Engineer

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CAPalo Alto, CAChicago, ILNew York, NYSeattle, WAAtlanta, GAIndianapolis, INAustin, TX
Salary
$197,300–$313,700 / yr
Employment
Full-time
Posted
140 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $256k
$122k $334k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $150,375–$231,000 — the blue band above. At the midpoint, this role pays about $256k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Applied Research Engineer

The Applied Research Engineer joins the Research Engineering team to bridge the gap between frontier AI technology and customer-facing reality. Working alongside Research Scientists, you will transform research breakthroughs into stable, secure, and production-ready applications for Generative AI and Agentic Systems. Your daily responsibilities include building tools and pipelines to support ML efforts, designing and maintaining production services like APIs and UIs, and rolling out scalable cloud architectures. You will also gather end-user requirements and deliver executive presentations. The role requires proficiency in Python, Linux, and React, along with experience in production cloud deployments using AWS or GCP. Candidates should possess skills in Kubernetes, full-stack field-debugging, and security best practices. This position focuses on delivering AI-created content at hyper-scale within the CRM product area.

What you'll do

  • Translate cutting-edge AI research and theory into stable, production-ready customer-facing applications.
  • Build and maintain production services including APIs, UIs, and agentic evaluators.
  • Develop tools and pipelines to support machine learning and AI research efforts.
  • Design and roll out scalable cloud architectures for high-impact systems.
  • Author high-quality, fully-tested code using Python, Linux, and React.
  • Perform field-debugging on full-stack deployments while ensuring security best practices.
  • Gather end-user requirements and prepare presentations for executive leadership.

What we're looking for

  • Demonstrate strong proficiency with Python and Linux.
  • Possess some experience with React (preferred).
  • Have experience with production cloud deployments like AWS or GCP.
  • Possess experience field-debugging full-stack deployments.
  • Maintain a solid understanding of security principles and best practices.
  • Possess UI and graphic design sensibilities (preferred).
  • Author high-quality, low-cognitive-load, fully-tested code with and without AI assistance.
  • Experience with Kubernetes is a plus (preferred).

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