below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$173,200–$247,500
— the blue band above.
At the midpoint, this role pays about
$215k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Salesforce
Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing
Salesforce currently has
221 open roles
on FindRole.
Listed pay typically runs
$148,500–$260,100
across 125 roles with salary data.
Research Scientist - Salesforce AI Research joins the Experience Salesforce AI Research team to advance enterprise AI innovations. In this role, you will identify high-impact research directions, prototype zero-to-one AI product prototypes, and validate needs directly with customers. You will build robust models, agents, and AI systems for real-world enterprise use, translating cutting-edge research into production-ready solutions. Key technical requirements include proficiency in Python and deep learning frameworks like PyTorch, JAX, or DeepSpeed. You must demonstrate expertise in areas such as Agentic AI, reasoning, reinforcement learning, multimodal vision, speech intelligence, or post-training techniques like RLHF and model distillation. The work focuses on solving complex enterprise problems by developing reasoning engines, simulation environments, and autonomous workflows to redefine how organizations plan and act.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Python
PyTorch
JAX
TensorFlow
LLMs
Generative AI
Agentic Workflows
Retrieval
Distributed Training
GPU Systems
High-Performance Computing
Compilers
Hardware/Software Co-design
Performance Engineering
ML Systems
Foundation Models
Multimodal Learning
Computer Vision
Generative AI
Deep Learning
Medical Imaging
Vision-Language Models
Model Distillation
Few-Shot Learning
Zero-Shot Learning
Self-Supervised Learning
Transfer Learning
Representation Learning
Model Compression
Parameter-Efficient Adaptation
Electronic Health Records
Medical AI