Applied AI Research Engineer

100 Salesforce, Inc.; San Francisco (CA); On-site; USD 197,000 - 314,000; Full time

Benefits offered by this job

Time off programs

Medical insurance

Dental insurance

Vision insurance

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchase program

Job summary

Salesforce is seeking talented software engineers to build and deploy AI-enabled services at scale. You will work with Python and Linux, contribute to production cloud deployments on AWS or GCP, and collaborate with researchers to turn theory into customer-facing products.

The role emphasizes building robust production services, scalable cloud architectures, and clear communication for executive stakeholders in a fast-paced AI-focused team.

Qualifications

• Strong abilities with Python and Linux, and some with React.
• 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.

Responsibilities

• 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.

Skills

Python

Linux

React

AWS

GCP

Kubernetes

Security principles

UI design sensibilities

Code quality

Tools

AWS

GCP

Kubernetes

Job description

Salesforce is seeking talented software engineers to build and deploy AI-enabled services at scale. You will work with Python and Linux, contribute to production cloud deployments on AWS or GCP, and collaborate with researchers to turn theory into customer-facing products.

The role emphasizes building robust production services, scalable cloud architectures, and clear communication for executive stakeholders in a fast-paced AI-focused team.