Research Scientist - LMTS

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. In June 2025, Convergence AI was acquired by Salesforce, joining the Agentforce team. The goal is to establish Salesforce's first engineering team in London, focusing on agent research topics and developing the next generation of personal assistants capable of automating large, previously labor-intensive workstreams for the enterprise world.

The Role

We are looking for Members of Technical Staff with strong academic backgrounds to join our team and lead research initiatives on training foundation models for a brand new enterprise agent. You will work with a small team of hands-on researchers — equipped with substantial GPU resources – to advance the state-of-the-art in multi-modal vision-language models, reinforcement learning, and action models. You will develop novel architectures and training approaches while publishing your findings in top-tier AI conferences and journals.

Responsibilities

• Designing and implementing novel supervised fine-tuning, preference learning and reinforcement learning techniques
• Developing innovative methods for data curation, including synthetic data generation pipelines and optimal dataset composition strategies
• Conducting rigorous experimentation to optimize model performance through data mixes, regularization techniques, and low-level optimizations
• Advancing the theoretical understanding of transformer architectures and their applications to multi-modal learning
• Publishing research findings in top-tier venues such as NeurIPS, ICML, and ICLR

Requirements

• Deep knowledge of transformer architectures and vision-language models and strong theoretical understanding of deep learning fundamentals
• Expertise in training and fine-tuning open source models using techniques such as supervised fine-tuning or reinforcement learning
• Proficiency in PyTorch and related frameworks
• Experience with large-scale distributed training and inference using e.g. DeepSpeed, FSDP, Ray

Bonus Qualifications

• PhD in Computer Science, Machine Learning, or related field
• Strong publication record in top-tier ML conferences (NeurIPS, ICML, ICLR) or top journals
• Research experience at leading academic or industrial research labs
• Demonstrated expertise in reinforcement learning
• Contributions to open-source ML frameworks
• Experience developing novel datasets or data generation approaches
• Background in causal reasoning or alignment research

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

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Posting Statement

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