Structured AI Research Scientist (Efficient Data Systems)

Granica Computing, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Flexible time off

Comprehensive health coverage

Job summary

A leading AI research firm in San Francisco is seeking a PhD-level researcher to develop foundational structured AI models. This role involves inventing algorithms, collaborating with experts, and advancing data system efficiencies. Candidates should have a strong background in machine learning, statistics, and experience with powerful deep learning frameworks. The company offers competitive compensation and a supportive environment for research and development, making it a perfect opportunity for those passionate about advancing AI infrastructure.

Qualifications

• PhD with specialization in structured data modeling.
• Research experience in representation learning or foundational models.
• Hands-on experience with deep learning frameworks.

Responsibilities

• Invent algorithms for structured AI and efficient information modeling.
• Develop adaptive learners and model architectures for enterprise data.
• Collaborate with research group and systems engineers on implementations.

Skills

Representation learning

Probabilistic modeling

Information theory

Deep learning frameworks

Statistical inference

Education

PhD in Machine Learning or related field

Tools

PyTorch

TensorFlow

Rust

Job description

A leading AI research firm in San Francisco is seeking a PhD-level researcher to develop foundational structured AI models. This role involves inventing algorithms, collaborating with experts, and advancing data system efficiencies. Candidates should have a strong background in machine learning, statistics, and experience with powerful deep learning frameworks. The company offers competitive compensation and a supportive environment for research and development, making it a perfect opportunity for those passionate about advancing AI infrastructure.