Research Scientist - Salesforce AI Research

Salesforce•Palo Alto, CA

1d•$137,100 - $276,100

About The Position

Salesforce AI Research is looking for outstanding research scientists to be at the forefront of a team making history. This role involves researching and developing new technology and science that millions of CRM customers will use, with a focus on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning. Salesforce has launched Einstein GPT, the world’s first Generative AI for CRM, transforming customer experiences. Research scientists at Salesforce discover new research problems, develop novel models, design experiments, and advance the state of the art in AI. The team collaborates with the wider research community, publishing at top academic conferences and filing patents. Research is embedded across Salesforce products, with a feedback loop from product to research to guide future directions. Scientists have the opportunity to switch between pure and applied research.

Requirements

Ph.D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field.
Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, and ICCV.
Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
Proven ability to implement, operate, and deliver results via innovation at a large scale.
Large Language Models (LLMs), LLM evaluation and benchmarking, multilingual LLMs, LLMs as foundation of agents.

Nice To Haves

Full-time industry experience in deep learning research/product.
Strong experience building and applying machine learning models for business applications.
Experience training large language models.
Experience mentoring and advising other researchers.
Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
Experience in implementing high-performance and large-scale deep learning systems.
Thoughtful about AI impacts and ethics.
Fantastic problem solver; ability to solve problems the world has not solved before.
Excellent written and spoken communication skills.
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

Responsibilities

Own and pursue ambitious, long-term research goals.
Develop solutions for real-world, large-scale problems.
As needed lead teams to deliver on more complex pure and applied research projects.