Applied Research Engineer

Salesforce

Remote

Quick summary

Work type: Remote
Location: San Francisco, CAPalo Alto, CAChicago, ILNew York, NYSeattle, WA
Salary: $197,300–$313,700 / 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 $173k

This role $256k

$107k most similar roles pay here $336k

This role pays more than 90% of similar roles. Most pay $137,918–$208,850 — the shaded band above. At the midpoint, this role pays about $256k versus about $173k 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 robust tools and pipelines for machine learning and AI projects, designing and maintaining production APIs and UIs, and ensuring the stability of cloud architectures. You will also assist in gathering end-user requirements and preparing executive presentations. Ideal candidates possess strong skills in Python and Linux, along with experience in cloud deployments using AWS or GCP, Kubernetes, and full-stack debugging. A solid grasp of security principles and an eye for UI design are highly valued, as is the ability to write high-quality, well-tested code both independently and with AI assistance. This role offers a unique blend of technical challenge 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 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 scale.
Develop tools and pipelines to support machine learning and AI initiatives.
Collaborate with research scientists to translate theoretical models into practical solutions.
Gather end-user requirements and prepare executive presentations on project progress.

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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