Principal Applied Scientist, Agentforce Operations
Core
Design, implement, and train novel deep learning models on large-scale GPU clusters to develop the next generation of business intelligence and bridge the gap between cutting-edge research and customer value.
Role type
Principal Applied Scientist (AI/ML Research & Production)
Builds
Production-ready AI features and business intelligence systems for enterprise customers
Domain
Artificial Intelligence, Machine Learning, Enterprise Software
Deliverable
production ML models
Required skills
Deep learning model design and training, Transformer architectures, Advanced retrieval mechanisms, Stochastic modeling, Graph theory, Optimization algorithms, Distributed GPU cluster training, Automatic differentiation frameworks (PyTorch, JAX, TensorFlow)
Preferred skills
Production-grade ML pipelines (Kubeflow, Airflow, MLflow), Distributed data pipelines (PySpark)
Technologies
PyTorch, JAX, TensorFlow, DeepSpeed, TorchTitan, Kubeflow, Airflow, MLflow, PySpark
Responsibilities
Design and implement novel deep learning models on large-scale GPU clusters; Prototype new architectures and algorithms for enterprise data (tabular, relational, graph-structured); Apply breakthrough AI research to advise on internal strategy; Partner with engineering and product teams to ship production-ready features
Seniority
Principal, hands-on IC with strategy & mentorship