Applied Research Engineer

Salesforce

Remote

Quick summary

Work type: Remote
Location: San Francisco, CAChicago, ILNew York, NYSeattle, WAAtlanta, GA
Salary: $148,500–$260,100 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k

This role $204k

$113k most similar roles pay here $276k

This role pays more than 73% of similar roles. Most pay $137,918–$209,337 — the shaded band above. At the midpoint, this role pays about $204k versus about $174k 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 132 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 116 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · Applied Research Engineer

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As a Senior Software Engineer on Salesforce's AI team, you will work closely with research scientists to develop and deploy cutting-edge generative AI services at scale. Your daily tasks include building tools and pipelines for machine learning efforts, designing and maintaining production APIs and UIs, and ensuring the stability of agentic evaluators. You will also assist in gathering end-user requirements and preparing executive presentations. Ideal candidates possess strong skills in Python and Linux, with experience in cloud deployments using AWS or GCP, Kubernetes knowledge being a plus. A solid understanding of security principles and proficiency in React are beneficial, as is an eye for UI design and the ability to write high-quality, well-tested code. This role offers deep technical challenges and real-world impact within Salesforce’s expansive CRM ecosystem.

Skills

Python AWS Kubernetes Linux React GCP CI/CD Docker Prometheus PostgreSQL Git Jenkins Terraform GraphQL Redis MongoDB CICD Security_principles UI_design_sensibilities

What you'll do

Design and build production services including APIs, UIs, and agentic evaluators.
Deploy scalable cloud architectures for AI applications at large scale.
Develop tools and pipelines to support machine learning and AI initiatives.
Field-debug full-stack deployments in a production environment.
Gather end-user requirements and prepare executive presentations on findings.

What we're looking for

Strong proficiency in Python and Linux.
Experience with cloud deployments on AWS or GCP.
Ability to field-debug full-stack applications.
Solid understanding of security principles and best practices.
Skills in designing and deploying production services like APIs and UIs.

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