Applied Research Engineer

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 looking for talented software and platform engineers to embed in our AI team to bridge the gap between frontier AI technology and customer‑facing reality. Do you want to build and deploy the next generation of services leveraging Generative AI and Agentic Systems? Do you thrive in an environment where your engineering skills directly enable world‑class research and products used by millions?

At Salesforce, we are driving the development of Generative AI for CRM, focused on delivering AI‑created content across every customer interaction at hyper‑scale. This role is crucial to transforming our research breakthroughs into stable, secure, and production‑ready applications.

The Research Engineering team works directly alongside Research Scientists to bring models to life. This position is dedicated to a high‑impact systems role, providing the best of both worlds: deep technical challenge and massive, real‑world scale. We believe that building substantive, scalable infrastructure is what enables scientific breakthroughs to spawn entirely new applications.

What You’ll Do

• 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.

What We’re Looking For

• Strong abilities with Python and Linux, and some experience 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.
• Authors high‑quality, low‑cognitive‑load, fully‑tested code – with and without AI assistance.

Benefits

Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program, and more. For more details see https://www.salesforcebenefits.com.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Salesforce ensures that recruiting, hiring, and promotion decisions are based on merit, competence, and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.