Applied AI Research Engineer — Generative Systems at Scale

Salesforce; Palo Alto (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Time off programs

Medical, dental, vision insurance

Mental health support

Paid parental leave

401(k)

Employee stock purchasing program

Job summary

Salesforce AI is seeking skilled software and platform engineers to enhance our AI team, bridging advanced AI technology with customer applications. This role involves designing and deploying services that use Generative AI technology to transform customer interactions at scale.

Join a motivated team working directly with Research Scientists to create stable, production-ready applications. Ideal candidates will excel in Python, cloud deployments, and have strong problem-solving abilities in complex environments.

Qualifications

• Strong abilities with Python and Linux, and some experience with React.
• Experience with production cloud deployments like AWS or GCP; Kubernetes is a plus.
• Solid understanding of security principles and best practices.
• Authors high-quality, low-cognitive-load, fully-tested code.

Responsibilities

• Work alongside other motivated engineers to bring cutting-edge theory into practice.
• Build tools and pipelines to support ML and AI efforts.
• Design, build, deploy, and maintain production services, like APIs and UIs.
• Roll out scalable cloud architectures.
• Help with user requirements gathering and presentations.

Skills

Python

Linux

React

AWS

GCP

Kubernetes

Job description

Salesforce AI is seeking skilled software and platform engineers to enhance our AI team, bridging advanced AI technology with customer applications. This role involves designing and deploying services that use Generative AI technology to transform customer interactions at scale.

Join a motivated team working directly with Research Scientists to create stable, production-ready applications. Ideal candidates will excel in Python, cloud deployments, and have strong problem-solving abilities in complex environments.