Research.

 
 
Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques.

As part of our team you’ll learn unique skills, work with talented people and help us shape the future of AI.

Where we hire.

 

Area of focus.

Computer Vision:

Our research team is working on cutting edge computer vision and AI research to allow our customers to harness the power of image recognition to solve an array of use-cases using pre-trained classifiers or custom models.  Einstein Vision allows you to harness the power of image recognition to solve an array of use-cases using pre-trained classifiers or custom models.

Deep Learning:

Deep learning fundamentals are applied to all research conducted by the team. They use machine learning methods based on supervised, semi-supervised or unsupervised  learning data representations, as opposed to task-specific algorithms. Great examples that we are currently working on are customer service chatbots, deep learning work based on sentiments to develop new features and products.

Voice/Speech:

Our research team is working on cutting edge speech/voice and AI research to help our customers work smarter and faster - using the power of their voice. With Einstein Voice Assistant, one can conversationally update Salesforce records, drive analytics dashboards, and hear a personalized daily briefing. Build custom branded Einstein Voice Bots connected to Salesforce to provide seamless, consistent experiences on any third party device.

Natural Language Processing:

Our research team is working on cutting edge NLP and AI research to innovate new product ideas and enhance exitisting products to analuze large amounts of NLP Data. This will allow our cutomers to to leverage the power of NLP processing to analuze intention and sentiment to better understand their customers needs. 

Reinforcement Learning:

Reinforcement learning (RL) fundamentals are applied to all the aspects of our research in ML concerned with how to take actions in an environment so as to maximize some notion of cumulative reward great examples would be text mining and data personalization. 

 

Interview process.

 

In their own words.

 

I really enjoyed my time at Salesforce and was able to make a lot of progress on developing and applying my skills in machine learning research. The Salesforce Research team is very supportive and I felt like they were always more than happy to help with whatever obstacle I was facing. Aside from developing and building on my research and applying machine learning at scale across dozens of GPUs, I also made great friends that I’m really looking forward to connecting with again.”

Martin Schrimpf, PhD Intern
 

Salesforce Research is a leading research team in AI, and being a part of it was an invaluable experience for me. The teams' projects varied on topics from NLP, computer vision, and machine learning — thus, I had the chance to learn about other areas and topics.”

Sewon Min, PhD Intern