Principal AI Researcher, Agentforce Operations

Salesforce; Seattle (WA); On-site; USD 197,300 - 313,700; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k)

Paid parental leave

Employee stock-purchasing program

Job summary

Salesforce is seeking a Software Engineer to join the Foundational Models Team. You will design and implement innovative AI models, collaborating closely with engineering and product teams to ensure deployment of cutting-edge solutions.

The ideal candidate will hold an advanced degree in a quantitative field, possess deep knowledge in AI, and have proven experience in deploying machine learning models. This opportunity offers competitive salary and benefits, enhancing your work-life balance.

Qualifications

• Experience developing, deploying, and evaluating machine learning models.
• Understanding of transformer architectures and advanced retrieval mechanisms.
• Production-grade skills with automatic differentiation frameworks.

Responsibilities

• Design and implement novel deep learning models.
• Prototype new architectures for enterprise data.
• Partner with teams to create production-ready features.

Skills

Deep learning models

AI research

Machine learning

Python

Transformer architectures

Education

Master’s or PhD in Computer Science, Mathematics, or AI/ML field

Tools

PyTorch

JAX

TensorFlow

Kubeflow

Airflow

MLflow

Job description

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Ready to level‑up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Join a collaborative, diverse team of researchers at Agentforce Operations. The Foundational Models Team develops the next generation of business intelligence and bridges the gap between cutting‑edge research and customer value. Following our recent acquisition, we offer the agility of an early‑stage startup backed by the global scale and trust of Salesforce.

What You’ll Actually Be Doing

• Design, implement, and train novel deep learning models on large‑scale GPU clusters.
• Prototype new architectures and algorithms for enterprise data, such as tabular, relational, and graph‑structured data.
• Stay current with AI research, apply relevant breakthroughs, and advise on internal AI strategy — wearing multiple hats as part of a startup‑style team that values experimental rigor and shipping well‑engineered systems.
• Partner with engineering, product, and design teams to turn research into functional, production‑ready features that create immediate, tangible customer value.

You're Our Person If…

• You have a Master’s or PhD in Computer Science, Mathematics, or a highly quantitative field with an AI/ML research focus.
• You possess experience developing, deploying, and evaluating machine learning models in production or top‑tier research environments and have a deep understanding of transformer architectures and advanced retrieval mechanisms.
• You designing novel, non‑standard AI solutions by introducing core architectural changes or applying foundational mathematical disciplines such as stochastic modeling, graph theory, or optimization algorithms, and have a track record of peer‑reviewed publications demonstrating this work.
• You have production‑grade Python skills, including experience with automatic differentiation frameworks like PyTorch, JAX, or TensorFlow, and experience training large‑scale models across distributed GPU clusters using frameworks like DeepSpeed or TorchTitan.

Even Better If…

• You have experience building production‑grade ML pipelines using tools like Kubeflow, Airflow, or MLflow for tracking, versioning, and automated retraining.
• You’ve built robust, distributed data pipelines for cleaning and analyzing massive datasets using tools like PySpark.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Our benefits include time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock‑purchasing program. More details about company benefits can be found at https://www.salesforcebenefits.com.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and create an inclusive workplace free from discrimination. Recruiting, hiring, and promotion decisions are fair and based on merit.

In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. The typical base salary range for this position is $197,300 – $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 – $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.