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Lead Applied Scientist, Agentforce Operations

$197.3k - $344.7k
Full-time

Salesforce

Role Description

Join a collaborative, diverse team of researchers at Agentforce Operations. The Foundational Models Team develops the next generation of business intelligence and bridges the gap between cutting-edge research and customer value. Following our recent acquisition, we offer the agility of an early-stage startup backed by the global scale and trust of Salesforce.

  • 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 that create immediate, tangible customer value.

Qualifications

  • 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.
  • You have a deep understanding of transformer architectures and advanced retrieval mechanisms.
  • You enjoy designing novel, non-standard AI solutions 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.
  • You have experience training large-scale models across distributed GPU clusters using frameworks like DeepSpeed or TorchTitan.

Requirements

  • You have experience building production-grade ML pipelines using tools like Kubeflow, Airflow, or MLflow.
  • You've built robust, distributed data pipelines for cleaning and analyzing massive datasets using tools like PySpark.

Benefits

  • Time off programs
  • Medical, dental, vision, and mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k) plan
  • Employee stock purchasing program
Vacancy posted 1 day ago
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