Research Scientist - Structured AI for Enterprise (Equity)
Granica
14 days+
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Benefits offered by this job
Job summary
An innovative AI research firm in San Francisco is seeking a Research Scientist focused on developing algorithms for structured AI. The role involves collaboration with leading researchers on projects to enhance representation learning and optimize data systems. Ideal candidates will hold a PhD and have experience with deep learning tools like PyTorch, JAX, or TensorFlow. This position offers a competitive compensation package, including equity and bonus opportunities, in a high-trust environment fostering innovation.
Qualifications
- Specialization in structured, tabular, or relational data modeling.
- Research experience in representation learning and generalization theory.
- Hands-on experience with systems optimization.
Responsibilities
- Invent algorithms for structured AI and representation learning.
- Develop adaptive learners for foundational models.
- Design architectures that reason over structured enterprise data.
Skills
PhD in Machine Learning, Statistics, or related fields
Strong grounding in information theory
Experience with deep learning frameworks
Proficiency in Python or Rust
Ability to translate theory into performance systems
Curiosity about structure in AI
Education
PhD
Tools
PyTorch
JAX
TensorFlow
Job description
An innovative AI research firm in San Francisco is seeking a Research Scientist focused on developing algorithms for structured AI. The role involves collaboration with leading researchers on projects to enhance representation learning and optimize data systems. Ideal candidates will hold a PhD and have experience with deep learning tools like PyTorch, JAX, or TensorFlow. This position offers a competitive compensation package, including equity and bonus opportunities, in a high-trust environment fostering innovation.
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