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Granica

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About

Granica helps you build and manage high-quality data for AI, at scale. The AI Data Readiness Platform makes data compact, safe, and powerful. Granica Crunch optimizes data cost & speed by shrinking out-of-control data lakehouse costs by up to 60%. Granica Screen protects AI safety by preserving privacy and eliminating harmful content. Granica Signal improves model performance by boosting model accuracy and lowering training time & costs. Granica's platform uses AI to continuously improve the AI-readiness of your data, making your projects faster and more impactful over time.

Platform
Web
Keywords
data privacydata managementdata optimizationai safety
Task
data optimizing

Features

data privacy

data selection & curation

data cost optimization

parquet compression

cloud cost savings calculator

intelligent data selection

ai data platform

Job Opportunities

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Granica

Research Scientist

Granica helps you build and manage high quality data for AI, at scale. Granica makes your data compact, safe and powerful - so you can build AI that is safe, efficient and effective.

sciencehybridMountain View, US
$180,000 - $220,000
full-time

Benefits:

  • Generous 401(k) plan with matching to secure and plan for your financial future

  • Comprehensive premium health, dental, and vision insurance for you and your dependents

  • Early exercise provisions of equity options to participate in the company’s growth

  • Unlimited PTO to recharge and rejuvenate

  • Healthy lunch and dinner options catered daily at our offices

Education Requirements:

  • Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus

Experience Requirements:

  • Experience with randomized algorithms, information theory, machine learning (both modeling and implementation), optimization.

  • Mathematical maturity in multivariate calculus, linear algebra, probability, data structures, and algorithms (at the level these tools are used in current research).

Other Requirements:

  • Deep familiarity with one high level programming language, such as Python (and relevant libraries, e.g. NumPy, Scipy, PyTorch) and one low-level language such as C++ or Golang.

  • Strong programming skills

  • Experience with technical writing and documentation, including academic publications

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