Principal Member of Technical Staff- AI Research
Company websitesalesforce.com (Salesforce, opens in new tab)
Base salary From $197,300
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (51 min ago) · observed since
About this job
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software EngineeringJob 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.
The Experience
With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
You're Our Person If...
- Has exceptional engineering skills.
- Has deep ML knowledge with meaningful implementation track records.
- Prioritize deep and strategic thinking.
- Has dedication, patience and resilience to build exceptional product experience.
- Collaborative and win with teams.
- Proactive and bias to action, comfortable in fast-pacing environment.
- Competitive coding winner (ACM-ICPC, etc).
- Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
- Programming & Systems:
- Strong proficiency in Python; solid experience with C++ and/or Java
- Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
- Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
- Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
- Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
- Strong software engineering fundamentals (data structures, algorithms, system design)
- Experience building production-quality systems
- Agentic / LLM Systems
- Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)
- Experience building end-to-end AI agents or complex AI-driven applications
- Familiarity with prompting, orchestration, and evaluation for LLM-based systems
- Machine Learning & AI
- Hands-on experience with deep learning frameworks
- Strong understanding of ML fundamentals
- Experience implementing and debugging model training, evaluation, and inference pipelines
- Infrastructure & Deployment
- Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
- Familiarity with distributed training or inference and performance optimization
- A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
- Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of 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. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: 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 the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

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.Source: Salesforce on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($197,300) is above 57% of the 1,729 Data & ML roles in California listed on this site; 20 others list the same floor. Their median floor is $184,000; the middle half runs from $154,000 to $224,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingPrincipal Member of Technical Staff- AI ResearchFrom $197,300
Senior Director, Forward Deployed EngineeringFrom $196,700
BISO - Product Security (Multiple Levels)From $197,300
Principal Member of Technical Staff (PMTS) / Staff Software Engineer – AI Platform (Agentic Systems)From $197,300
Staff Data Engineer - SlackFrom $197,300
Staff iOS Developer Experience Engineer - SlackFrom $197,300
Director of Technical Product Management, Customer Availability Products & Services (CAPS)From $197,300
Chart as a table
| Role | Published base |
|---|---|
| Principal Member of Technical Staff- AI Research (this listing) | From $197,300 |
| Senior Director, Forward Deployed Engineering | From $196,700 |
| BISO - Product Security (Multiple Levels) | From $197,300 |
| Principal Member of Technical Staff (PMTS) / Staff Software Engineer – AI Platform (Agentic Systems) | From $197,300 |
| Staff Data Engineer - Slack | From $197,300 |
| Staff iOS Developer Experience Engineer - Slack | From $197,300 |
| Director of Technical Product Management, Customer Availability Products & Services (CAPS) | From $197,300 |
Observed changes
- First observed on the employer's board
- fields changed
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-28
Where this pay comes from
Location as the employer wrote it: US (regional bands)
ble compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
