[Remote] Principal Applied Scientist, Agentforce Operations

Note: The job is a remote job and is open to candidates in USA. Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The role involves designing and implementing deep learning models, prototyping new architectures for enterprise data, and collaborating with teams to turn research into customer value.

Responsibilities

• Design, implement, and train novel deep learning models on large-scale GPU clusters
• Prototype new architectures and algorithms for enterprise data, such as tabular, relational, and graph-structured data
• Stay current with AI research, apply relevant breakthroughs, and advise on internal AI strategy — wearing multiple hats as part of a startup-style team that values experimental rigor and shipping well-engineered systems
• Partner with engineering, product, and design teams to turn research into functional, production-ready features that create immediate, tangible customer value

Skills

• You have a Master's or PhD in Computer Science, Mathematics, or a highly quantitative field with an AI/ML research focus
• You possess experience developing, deploying, and evaluating machine learning models in production or top-tier research environments and have a deep understanding of transformer architectures and advanced retrieval mechanisms
• You enjoy designing novel, non-standard AI solutions by introducing core architectural changes or applying foundational mathematical disciplines such as stochastic modeling, graph theory, or optimization algorithms, and have a track record of peer-reviewed publications demonstrating this work
• You have production-grade Python skills, including experience with automatic differentiation frameworks like PyTorch, JAX, or TensorFlow, and experience training large-scale models across distributed GPU clusters using frameworks like DeepSpeed or TorchTitan
• You have experience building production-grade ML pipelines using tools like Kubeflow, Airflow, or MLflow for tracking, versioning, and automated retraining
• You've built robust, distributed data pipelines for cleaning and analyzing massive datasets using tools like PySpark

Benefits

• Time off programs
• Medical, dental, vision, mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program
• Certain roles may be eligible for incentive compensation, equity, and benefits

Company Overview

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