Senior AI Research Scientist
4 days ago
Salesforce, the world's leading customer relationship management platform, is driving innovation in the field of Artificial Intelligence. Our cutting-edge technology has led to the development of Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing, and commerce.
We are seeking a highly skilled Senior AI Research Scientist to join our Einstein GPT Data Science Team. As a key member of this team, you will be responsible for designing and developing intelligent, personalized, and trusted CRM Generative AI Applications for Agentforce.
Job DescriptionIn this role, you will work on exciting and interesting problems in areas like advanced Retrieval Augmented Generation (RAG) technologies, Enterprise Knowledge Graphs, Search Relevance, LLM evaluations and metrics, feedback-based learning, and parameter efficient fine-tuning.
Our applied scientists are pushing the boundaries of what is possible with AI, and we need your expertise to help us achieve our goals. If you have a passion for AI research and development, and want to be part of a state-of-the-art foundational applied science team with high visibility and customer impact, then this is the perfect opportunity for you.
Key Responsibilities- Design and develop advanced RAG portfolio for Agentforce
- Collaborate with cross-functional teams to integrate AI solutions into Salesforce products
- Conduct research and development in areas like machine learning, NLP, and deep learning
- Mentor and guide junior team members in AI research and development
- PhD or equivalent Master's Degree plus 7+ years of experience in CS, CE, ML or related field
- Experience with RAG, Knowledge Graphs, NLP methods and generative AI
- Strong experience building and applying machine learning models for business applications
- Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch
- A PhD in CS, Machine Learning, Statistics or relevant field
- 7+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval
- Proven expertise with RAG, knowledge graphs and search relevance
- Strong background in ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods
The base salary for this position is $223,000 - $323,400 per year, depending on location and level of experience. Certain roles may be eligible for incentive compensation, equity, and benefits.
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