Principal Applied Scientist, Agentforce Operations

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design, implement, and provide training for innovative deep learning models on large-scale GPU clusters.

• Develop prototypes for new architectures and algorithms tailored for enterprise data, including tabular, relational, and graph-structured formats.

• Keep abreast of the latest advancements in AI research, integrate pertinent breakthroughs, and offer guidance on internal AI strategy.

• Collaborate with engineering, product, and design teams to transform research insights into functional, production-ready features.

⛳️ Requirements

• A Master's or PhD in Computer Science, Mathematics, or a highly quantitative discipline with a focus on AI/ML research.

• Experience in developing, deploying, and assessing machine learning models in production environments or prestigious research settings.

• Profound knowledge of transformer architectures and sophisticated retrieval mechanisms.

• Capability to design innovative, non-standard AI solutions.

• Experience with core architectural modifications or foundational mathematical disciplines such as stochastic modeling, graph theory, or optimization algorithms.

• Proficient in production-grade Python, including automatic differentiation frameworks like PyTorch, JAX, or TensorFlow.

• Experience in training large-scale models across distributed GPU clusters utilizing frameworks such as DeepSpeed or TorchTitan.

• Expertise in constructing production-grade ML pipelines using tools like Kubeflow, Airflow, or MLflow.

• Ability to create 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