Diffusion AI Scientist for Enterprise Large Tabular Models

Granica Computing, Inc.; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health coverage

Unlimited PTO

Daily catered meals at the office

Support for research and conferences

Job summary

Granica Computing, Inc. is seeking a talented researcher to develop novel diffusion models and generative learning algorithms. The role involves collaborating with leading experts and creating techniques for Large Tabular Models. Ideal candidates will have a PhD in a relevant field and a strong background in generative machine learning.

Enjoy competitive salary, equity, unlimited PTO, and other generous benefits while contributing to cutting-edge AI developments at Granica.

Qualifications

• PhD in a relevant field
• Strong research record in generative machine learning
• Experience developing new generative models or learning algorithms

Responsibilities

• Develop novel diffusion models and generative learning algorithms
• Research new representation learning techniques for Large Tabular Models
• Collaborate closely with the research team

Skills

Generative machine learning

Research record

Hands-on experience with PyTorch

Strong programming skills in Python

Experience with diffusion models

Education

PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field

Tools

PyTorch

JAX

Job description

Granica Computing, Inc. is seeking a talented researcher to develop novel diffusion models and generative learning algorithms. The role involves collaborating with leading experts and creating techniques for Large Tabular Models. Ideal candidates will have a PhD in a relevant field and a strong background in generative machine learning.

Enjoy competitive salary, equity, unlimited PTO, and other generous benefits while contributing to cutting-edge AI developments at Granica.