Principal Applied Scientist, Agentforce Operations

🕒 July 1

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $197.3k - $313.7k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• 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. • Partner with engineering, product, and design teams to turn research into functional, production-ready features.

🎯 Requirements

• Master's or PhD in Computer Science, Mathematics, or a highly quantitative field with an AI/ML research focus • experience developing, deploying, and evaluating machine learning models in production or top-tier research environments • deep understanding of transformer architectures and advanced retrieval mechanisms • designing novel, non-standard AI solutions • core architectural changes or applying foundational mathematical disciplines such as stochastic modeling, graph theory, or optimization algorithms • production-grade Python skills with automatic differentiation frameworks such as PyTorch, JAX, or TensorFlow • experience training large-scale models across distributed GPU clusters using frameworks like DeepSpeed or TorchTitan • building production-grade ML pipelines using tools like Kubeflow, Airflow, or MLflow • robust, distributed data pipelines 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