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Research Scientist - Salesforce AI Research

Salesforce

Research Scientist - Salesforce AI Research

Salesforce

2 Locations

·

On-site

·

Full-time

·

1mo ago

Compensation

$117,200 - $313,700

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Annual team offsites

Parental leave program

Learning and development stipend

Required Skills

Apache Spark

SQL

Airflow

Job Category

Software Engineering

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.

About the Role

Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers. Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning?

Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com

Candidates have a strong background in one or more of the following areas:

  • Agentic AI & Reasoning: LLM-powered agents, reinforcement learning, and autonomous workflows.
  • Multimodal & Computer Vision: Vision-language models (VLM), video understanding, and visual grounding for GUI agents.
  • Speech Intelligence: Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.
  • Efficient Systems: Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.
  • Core Modeling: Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.

Responsibilities

  • Own and pursue ambitious research and engineering goals aligned with strategic initiatives.
  • Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.
  • Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.
  • Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.

Minimum Qualifications

  • Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) OR a proven track record of shipping AI products to real users.
  • Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.
  • Experience with Python and deep learning libraries/platforms (e.g., Py Torch, Jax, or Deep Speed).
  • Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred Qualifications

  • Full-time industry experience in deep learning research and/or product development.
  • Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.
  • Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).
  • Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.
  • Thoughtful about AI impacts, trust, and ethics.
  • Outstanding communication, collaboration, and problem-solving skills.

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.

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)
  • Employee stock purchasing program

More details about company benefits can be found at: https://www.salesforcebenefits.com

Compensation

The typical base salary range for this position is $117,200 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is**$141,200 - $344,700** annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Salesforce believes in equality for all and is committed to creating a workplace that's inclusive and free from discrimination.

Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and all other employment decisions — 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.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Application Note

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.

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About Salesforce

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

Employees

San Francisco

Headquarters

$243B

Valuation

Reviews

4.0

16 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Competitive compensation packages

Remote work flexibility

Good benefits (headphone/internet reimbursement)

Cons

Ongoing layoffs and job insecurity

Poor refresher/yearly stock grants

Condescending interview processes

Salary Ranges

45 data points

Junior/L3

L3

L5

L6

Junior/L3 · Associate Data Engineer

1 reports

$120,510

total / year

Base

$92,700

Stock

-

Bonus

-

$120,510

$120,510

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Offer Rate

20%

Experience

Positive 20%

Neutral 20%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview Panel

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience